Aspects of the subject disclosure may include, for example, categorizing users of a cellular network according to a plurality of user categories, identifying, by a machine learning model, a service degradation in the cellular network, identifying at least one affected user, the at least one affected user being affected by the service degradation, identifying one or more affected user categories including the at least one affected user, identifying potentially affected users, the potentially affected users being categorized according to the one or more affected user categories, and taking action to isolate the potentially affected users from the service degradation. Other embodiments are disclosed.
H04W 24/02 - Arrangements for optimising operational condition
H04L 41/16 - Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence
H04L 41/507 - Filtering out customers affected by service problems
H04W 36/30 - Reselection being triggered by specific parameters by measured or perceived connection quality data
Automated software code validation and deployment can include obtaining software code. The software code can be created via interactions with a computing device. In response to obtaining the software code and prior to receiving a request to deploy the software code, a security scan can be performed on the software code. After performing the security scan on the software code, a request to deploy the software code can be detected and in response to detecting the request, it can be determined if the software code includes a vulnerability that was detected during the security scan. If a determination is made that the software code does not include the vulnerability, the software code can be deployed. If a determination is made that the software code includes the vulnerability, deployment of the software code can be terminated, a security scan report can be generated, and the security scan report can be output.
G06F 21/57 - Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
3.
CONTROL PLANE USER PLANE (CUPS) CAPABILITIES EXCHANGE
Aspects of the subject disclosure may include, for example, obtaining first information identifying each version of a policy rule base to which a control plane architecture of a wireless network has access; obtaining second information identifying each version of a policy rule base to which a user plane architecture of the wireless network has access; selecting as a selected version a common version of a policy rule base to which each of the control plane architecture and the user plane architecture has access; and communicating an identification of the selected version to each of the control plane architecture and the user plane architecture. Other embodiments are disclosed.
The described technology is generally directed towards non-terrestrial network connection management. Mobile device transitions between terrestrial and non-terrestrial network connections can be streamlined by predicting transitions in advance and by advance mobile device acquisition of network transition data. Terrestrial and non-terrestrial network functions can provide prediction data and network transition data to mobile devices. Furthermore, techniques are provided to manage mobile device searches for terrestrial network connections while a mobile device has an active non-terrestrial network connection.
Techniques are described that facilitate authenticating and verifying pick-ups and deliveries associated with an autonomous vehicle delivery service. In one example embodiment, a method comprises accessing, by a system comprising a processor, authentication information associated with a target physical location, wherein the authentication information comprises network access information for a communication network associated with the target physical location. The method further comprises verifying, by the system, whether a current location of an autonomous vehicle corresponds to the target physical location based on an ability of a communication device of the autonomous vehicle to establish a network connection with the communication network using the network access information.
B60R 25/24 - Means to switch the anti-theft system on or off using electronic identifiers containing a code not memorised by the user
B60R 25/01 - Fittings or systems for preventing or indicating unauthorised use or theft of vehicles operating on vehicle systems or fittings, e.g. on doors, seats or windscreens
6.
AUTOMATIC TROUBLESHOOTING SYSTEM FOR USER-LEVEL PERFORMANCE DEGRADATION IN CELLULAR SERVICES
Aspects of the subject disclosure may include, for example, training a cell-level machine learning model to predict a likelihood of a cell site in a cellular network having service issues that impact customers of the cellular network, training a user equipment (UE) level machine learning model using output information from the cell-level machine learning model and historical information about UE-level performance metrics, receiving, from a customer associated with a UE device operating on the cellular network, information about a service degradation experienced by the customer on the UE device, providing the information about the service degradation to the UE-level machine learning model; and receiving, from the UE-level machine learning model, information identifying a source of the service degradation. Other embodiments are disclosed.
H04W 24/04 - Arrangements for maintaining operational condition
H04L 41/149 - Network analysis or design for prediction of maintenance
H04L 41/16 - Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence
Aspects of the subject disclosure may include, for example a device having a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of: creating a quantum digital twinning model for a public safety event; generating a map view of an area of the public safety event, wherein the map view shows images determined by the quantum digital twinning model; providing recommendations for actions to mitigate the public safety event, wherein the recommendations are determined from the quantum digital twinning model; and providing explainability of the recommendations determined. Other embodiments are disclosed.
Aspects of the subject disclosure may include, for example, obtaining, by a processing system including a processor, an indication of an assertion involving a first avatar of a first user, assessing, by the processing system and based on the obtaining, a validity of the assertion relative to a threshold, and authorizing, by the processing system and based on the assessing, a first action to be taken by the first avatar, a second action to be taken by a second avatar of a second user, or a combination thereof. Other embodiments are disclosed.
G06F 3/04815 - Interaction with a metaphor-based environment or interaction object displayed as three-dimensional, e.g. changing the user viewpoint with respect to the environment or object
G06T 13/40 - 3D [Three Dimensional] animation of characters, e.g. humans, animals or virtual beings
Aspects of the subject disclosure may include, for example, determining a need to offload traffic for an access network based on communications from an access mobility function (AMF), identifying a colony of drones to address the need to offload traffic for the access network, deploying the colony of drones to a coverage area corresponding to the access network, and providing end-to-end (E2E) orchestration across a core network and the colony of drones. Other embodiments are disclosed.
Artificial biometric traits self-nullify due to natural physiological processes. Biometric enrollment and authentication may then be based on a life associated with the self-nullifying biometric trait. Once the life is expected to have expired, no further authentication may be performed until a new artificial biometric is applied.
Aspects of the subject disclosure may include, for example, authenticating a credential of a first user of a first device, based on the authenticating, providing the first user with an option to select a badge from a plurality of badges via the first device, based on the providing of the option, obtaining a selection of a first badge included in the plurality of badges from the first device, resulting in a selected badge, and based on the obtaining of the selection, transferring an identification of the selected badge to the first device. Other embodiments are disclosed.
The present disclosure describes a device, computer-readable medium, and method for an IPv4-to-IPv6 redirect to enable use of application function-specific user endpoint identifiers (AF-specific UEIds). In one example, a method performed by a processing system includes receiving, from an application function of a communications network, a redirected request for an AF-specific UEId that is unique to a user endpoint device and the application function, where the redirected request includes an IPv6 address associated with the user endpoint device, querying a binding support function of the communications network for a subscription permanent identifier associated with the IPv6 address associated with the user endpoint device, querying an application function-specific management function for an AF-specific UEId associated with the subscription permanent identifier and an identifier of the application function, and forwarding the AF-specific UEId associated with the subscription permanent identifier and the identifier of the application function to the application function.
H04L 101/686 - Types of network addresses using dual-stack hosts, e.g. in Internet protocol version 4 [IPv4]/Internet protocol version 6 [IPv6] networks
13.
USING DECISION TREES TO PROVIDE A GUIDED E-COMMERCE EXPERIENCE
A method includes receiving a signal that a user wishes to purchase a product, initializing a decision tree to collect information from the user, presenting a first query to the user, where the first query is selected for presentation based on the decision tree, receiving, in response to the first query, a first user input comprising at least one of: a feature preference or a budget constraint related to the product, presenting a subsequent query to the user, where the subsequent query is selected for presentation based on the first user input and the decision tree, receiving, in response to the subsequent query, a subsequent user input comprising at least one of: a feature preference or a budget constraint related to the product, and presenting information about a recommended product that is identified by using the first user input and the subsequent user input to traverse the decision tree.
Estimation of network latency based on aggregated performance data is disclosed. End-to-end latency between endpoints can comprise protocol-induced latency, access network-induced, core-network latency, and network-distance-based latency. Network latency, e.g., network-distance-based latency, also referred to as topological latency, can correspond to communication path length between endpoints. Crowdsourcing of communication path performance information can enable estimation of topological latency, and derivatives thereof, such as topological distance. Crowdsourcing can be the practice of obtaining information or input into a task or project by enlisting the services of a large number of people, either paid or unpaid, e.g., collection of performance information. The disclosure illustrates estimation of protocol-induced latency, access network-induced, and core-network latency, such that they can be compensated for in end-to-end latency information, thereby enabling estimation of topological latency that can be employed in determining, initiating, etc., a network response operation that can affect change in a network.
H04L 43/067 - Generation of reports using time frame reporting
H04L 43/0817 - Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
A processing system may obtain a request to add at least a first feature to a feature graph database, where the request comprises a first feature ontology of the first feature, and where the first feature ontology comprises: a label of the first feature and a relationship of the first feature to a concept or to another feature. The processing system may then identify whether the first feature is a duplicate of a second feature in the feature graph database based at least upon the first feature ontology and a second feature ontology of the second feature and generate an indication of whether the first feature is a duplicate in response to the identifying.
Aspects of the subject disclosure may include, for example, a non-transitory machine-readable medium comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, the operations comprising: receiving by a selected one of a plurality of containers incoming traffic from a legacy application, the legacy application having been associated with a migrated application prior to the migrated application having been installed on a Software as a Service (SaaS) cloud infrastructure, the incoming traffic comprising a first instruction to perform a first legacy operation; mapping the first legacy operation of the legacy application to a replacement instruction for the migrated application by receiving data from the selected container and assigning the replacement instruction to replace the first instruction; and communicating with the migrated application on the SaaS cloud infrastructure, the communicating comprising sending to the migrated application on the SaaS cloud infrastructure the replacement instruction. Other embodiments are disclosed.
Aspects of the subject disclosure may include, for example, determining that a first communication session involving a client device and utilizing a first Wireless Fidelity (Wi-Fi) frequency band has concluded, and based on the determining, causing a second communication session involving the client device to utilize a second Wi-Fi frequency band that is different from the first Wi-Fi frequency band. Other embodiments are disclosed.
The technologies described herein are generally directed to detecting reflective surfaces for use reflecting a signal from access point equipment to destination equipment in advanced networks, e.g., at least a fifth generation (5G) network. For example, a method described herein can include receiving a request to establish a reflective path usable to facilitate a connection between user equipment and access point equipment, resulting in reflected path information corresponding to the reflective path. The method can further include, based on the reflected path information, selecting a location for a reflective surface to facilitate the connection by the access point equipment. The method can further include, facilitating communicating the reflected path information to the access point equipment.
Aspects of the subject disclosure may include, for example, receiving, from a machine learning model, information about an event causing a service degradation in a cellular network, wherein the event is external to the cellular network, determining one or more event categories associated with the event causing the service degradation, determining, based on the one or more event categories, likely affected customers, the likely affected customers being likely to experience the service degradation, determining, by the machine learning model, proper resources for resolution of the service degradation, wherein the determining proper resources is based on the one or more event categories, and dispatching the proper resources for resolution of the service degradation. Other embodiments are disclosed.
A processing system may apply a community detection process to a feature graph database to identify a plurality of communities of features, the feature graph database comprising: a plurality of objects, each associated with one of a feature or a concept, and a plurality of relationships between the plurality of objects. Next, the processing system may label a first plurality of features of the feature graph database with at least a first community label, where the first plurality of features comprises features of at least a first community of the plurality of communities. The processing system may then obtain a search associated with at least one feature of the feature graph database, where the at least one feature is a part of the at least the first plurality of features of the at least the first community, and provide the first plurality of features in response to the search.
A security management service for Internet-of-things devices can obtain, from an Internet-of-things device and via a cellular network, a request by the Internet-of-things device to register with the cellular network, the Internet-of-things device including a universal integrated circuit card that stores a unique identifier for the Internet-of-things device and a cellular transceiver. The security management service can obtain behavioral data describing activity associated with the Internet-of-things device and can determine, based on the identity data and the behavioral data, if the Internet-of-things device is operating normally and as expected and if the Internet-of-things device is under the control of any unauthorized entity before allowing the Internet-of-things device to register with the cellular network.
Concepts and technologies disclosed herein are directed to event-based wireless emergency alerts (“WEAs”). According to one aspect disclosed herein, a WEA-capable device can receive an event-based wireless emergency alert that includes an event code and alert content. The WEA-capable device can parse the event code from the event-based WEA. The WEA-capable device can determine, via execution of an event-based WEA function, a WEA format based upon the event code. The WEA-capable device can then output the alert content in the WEA format. In some embodiments, the event code identifies a weather-related emergency event (e.g., a hurricane or tornado warning). In other embodiments, the event code identifies a non-weather-related emergency event (e.g., a child abduction alert). The WEA format can be an event-specific spoken language, an event-specific symbol, an event-specific haptic feedback, or a combination thereof.
H04W 4/90 - Services for handling of emergency or hazardous situations, e.g. earthquake and tsunami warning systems [ETWS]
G08B 7/06 - Signalling systems according to more than one of groups ; Personal calling systems according to more than one of groups using electric transmission
H04W 68/00 - User notification, e.g. alerting or paging, for incoming communication, change of service or the like
Aspects of the subject disclosure may include, for example, a system including a cross-segment slice controller (CSSC) configured to interface with a software-defined network (SDN) controller and a software-defined radio (SDR) controller. The SDN controller may be associated with a core network and the SDR controller may be associated with a radio access network (RAN). The system further includes a machine learning (ML) component configured to obtain and analyze data regarding the core network and the RAN, and an intelligent end-to-end (E2E) orchestration platform (IEOP) configured to coordinate with the SDN controller and the SDR controller via the CSSC based on outputs of the ML component to provide dynamic cross-segment network slice management. Other embodiments are disclosed.
Aspects of the subject disclosure may include, for example, a device including a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of: receiving domain name system (DNS) record changes; identifying errors from the DNS record changes; discarding the DNS record changes responsive to the errors identified; scheduling the DNS record changes responsive to a lack of errors identified; translating the DNS record changes into protocol specific formats; and provisioning the protocol specific formats of the translated DNS record changes. Other embodiments are disclosed.
The technologies described herein are generally directed to utilizing unmanned controller equipment to launch and recover unmanned imaging equipment in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include receiving an indication that unmanned aerial equipment is to be captured. The method can further include, based on the indication, capturing the unmanned aerial equipment launched over a data collection area, resulting in captured unmanned aerial equipment. Further, the method can include, interfacing with the captured unmanned aerial equipment to download information associated with the data collection area collected by the unmanned aerial equipment during airborne transit over the data collection area.
Aspects of the subject disclosure may include, for example: obtaining first information identifying a first path between a source node located in a network and a destination node located in the network, wherein the first path comprises a first plurality of nodes including at least one first intermediate node between the source node and the destination node, and wherein the first information comprises first latency information that identifies a first travel latency that exists on the first path between the source node and the destination node; obtaining second information identifying a second path between the source node and the destination node, wherein the second path comprises a second plurality of nodes including at least the source node and the destination node, and wherein the second information comprises second latency information that identifies a second travel latency that exists on the second path between the source node and the destination node; and selecting as a selected path either the first path or the second path, the selecting being based upon the first travel latency and the second travel latency, wherein the selecting is such that the selected path is capable of carrying a packet from the source node to the destination node in less time than the one of the first path or the second path that is not selected. Other embodiments are disclosed.
H04W 40/20 - Communication route or path selection, e.g. power-based or shortest path routing based on geographic position or location
H04W 40/12 - Communication route or path selection, e.g. power-based or shortest path routing based on transmission quality or channel quality
H04W 40/22 - Communication route or path selection, e.g. power-based or shortest path routing using selective relaying for reaching a BTS [Base Transceiver Station] or an access point
27.
MOBILE SUBSCRIBER AUTHENTICATION AND RISK EVALUATION SYSTEM AND PROCESS
Aspects of the subject disclosure may include, for example, a device in a messaging core, that includes: a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations including receiving a short messaging system (SMS) message from an application-to-person (A2P) service to a mobile device of a subscriber; verifying an origin of the SMS message; identifying the SMS message as bearing a one-time passcode (OTP); preventing delivery of the SMS message to a messaging application on the mobile device; and delivering the SMS message to an application running on the mobile device. Other embodiments are disclosed.
An architecture related to the creation of, and attribution to, experiences based on location, popularity, captured media, and/or objects. A method can comprise receiving social media data associated with a user associated with a user identity, generating an attributable identity token based on the social media data and a learning model, wherein the attributable identity token is associated with the user identity and is representative of location data and experience data, and wherein the learning model comprises a collection of rules, and disseminating, by the device, the attributable identity token to a group of user identities associated with a social media operator entity.
Aspects of the subject disclosure may include, for example, receiving a first request from a first communication orchestrator of a first protected environment to provide a secure and authenticated connection between a first resource of the first protected environment and a second resource of a second protected environment, accessing first encryption information from the first communication orchestrator and second encryption information from a second communication orchestrator of the second protected environment, verifying a capability for secure quantum communications of an encryption technique of the first communication orchestrator and the second communication orchestrator according to the first encryption information and the second encryption information, and enabling the first communication orchestrator and the second communication orchestrator to initiate a secure and authenticated communication channel via quantum communications. Other embodiments are disclosed.
H04L 9/32 - Arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system
Aspects of the subject disclosure may include, for example, monitoring status of a network configured to provide end-to-end delivery of services to priority user equipment authorized according to a prioritized class of service and other user equipment not authorized for the prioritized class of service. The prioritized class of service extends a reserved network capacity for end-to-end delivery of a service via first domain including first network slices and a second domain including second network slices. A network interruption compromising the reserved capacity is determined based on the monitored status and integration of an alternate group of slices into one of the first network domain, the second network domain, or both to replace the compromised group of slices, is orchestrated. Integration of the alternate group of slices restores reserved network capacity according to the prioritized class of service. Other embodiments are disclosed.
H04L 41/16 - Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence
31.
TECHNIQUES FOR MANAGING TASKS FOR EFFICIENT WORKFLOW MANAGEMENT
Tasks associated with users can be managed for efficient workflow management. A task management component (TMC) can analyze, including performing artificial intelligence-based analysis on, task-related information relating to associated with a user(s), assessment information relating to assessing performance or expertise associated with a task, biometric information relating to health, diet, and activity associated with the user(s), and/or user(s) feedback information. Based on the analysis, TMC can adaptively adjust respective attributes associated with respective tasks, resulting in respective adjusted attributes associated with the respective tasks. Based on the respective adjusted attributes, TMC can determine task information and can present the task information to a device(s) associated with the user(s) to facilitate performance of the tasks. In response to detecting user fatigue or stress, TMC can adjust task attributes, including task completion due dates, to allow user recovery time, while still ensuring timely completion of tasks.
In one example, the present disclosure describes a device, computer-readable medium, and method for implementing programmable security specifications in home routers. For instance, in one example, a method performed by a processing system including at least one processor includes monitoring network traffic flowing into and out of a home network that is connected to a core network via a gateway device, constructing a model of network traffic flowing into and out of the home network, based on the monitoring, detecting an anomaly in the model of the network traffic, generating a rule based on the anomaly, where the rule specifies an action to be taken when a match condition related to the anomaly is detected, and deploying the rule on the gateway device.
Aspects of the subject disclosure may include, for example, determining that a network load would consume a first amount of power if supported by a first frequency band of a network, resulting in a first determination, determining that the network load would consume a second amount of power if supported by a second frequency band of the network that is different from the first frequency band, resulting in a second determination, the second amount of power being less than the first amount of power, and based at least on the first determination and the second determination, allocating the network load to the second frequency band. Other embodiments are disclosed.
Aspects of the subject disclosure may include, for example, determining that one or more tests are to be executed for a core network of a telecommunications system, based on the determining, transmitting one or more test initiation commands to a set of user equipment (UEs) of a plurality of UEs communicatively coupled to the core network, wherein the one or more test initiation commands cause the set of UEs to execute the one or more tests, obtaining, from the set of UEs, results associated with the one or more tests, analyzing the results based on one or more machine learning (ML) models to identify a network issue, and responsive to the analyzing, performing one or more actions to address the network issue. Other embodiments are disclosed.
H04L 41/16 - Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence
H04W 24/04 - Arrangements for maintaining operational condition
35.
Server Selection for Reducing Latency with a Service Instance
Server selection for improving latency with an instance of a service is disclosed. Generally, lower core latency is preferrable. Core latencies can be related to a physical distance between endpoints connected via a communication pathway, such as a first server and second server connected via network equipment. A geographic distance between endpoints can be different from a topological distance of a communication pathway between endpoints. Endpoints, e.g., servers, can be ranked based on topological distance. The ranking can be communicated to service provider equipment to enable selection of a server based on a corresponding ranking of the server. Selection of an endpoint based on topological distance can enable improved latency in comparison to selecting an endpoint based on geographical distance. Improved latency can result in an improved quality of experience for a user of a service supported by an endpoint selected based on topological distance.
Aspects of the subject disclosure may include, for example, determining, by a processing system including a processor, that a first resource of a first radio access network is accommodating load in an amount less than a first threshold, resulting in a first determination, determining, by the processing system, that a signal strength of a signal emitted by the first resource is greater than a second threshold, resulting in a second determination, and based on the first determination and the second determination, causing, by the processing system, a voice call initiated by a first user equipment to be supported by the first resource, wherein prior to the causing the first user equipment obtained communication services via a second resource of a second radio access network. Other embodiments are disclosed.
Facilitating auto-pilot aerial to surface heterogenous communications in advanced networks is provided herein. Operations of a system include receiving, via a receiver, a wireless signal that originated from a device located above a ground surface, the network equipment is located below the ground surface. The operations can also include transforming, via a converter, the wireless signal into an optical signal that is transmitted via a fiber optic cable below the ground surface, the receiver and the converter are located on a first side of the fiber optic cable. Further, the operations can include using a reflector to transmit light along the fiber optic cable at a defined angle. The reflector can be located at a second side of the fiber optic cable. The first side is closer to the ground surface as compared to the second side. The defined angle can be an angle approaching zero degrees.
In one example, the present disclosure describes a device, computer-readable medium, and method for managing access control in private networks like home or corporate networks based on a current location such as a defined area, e.g., a room, in which a network-connected device is located. For instance, in one example, a method performed by a processing system including at least one processor includes receiving a request from a user endpoint device to access a private network that provides a network connectivity within a structure, determining a current location of the user endpoint device within the structure, determining whether an access control rule permits access to the private network for a combination of the user endpoint device and the current location of the user endpoint device, and taking, in response to the determining, an action to enforce the access control rule.
Transfer knowledge from auxiliary data for more inclusive machine learning models is provided. A method can include generating a common feature space comprising first data features, wherein the first data features are present in training data used to train a first machine learning model, and wherein the first data features are present in auxiliary data that are independent of the training data; generating a combined learned feature representation, the combined learned feature representation being representative of the first data features of the common feature space and second data features that are unique to the training data; and training a second machine learning model based on the combined learned feature representation.
Techniques are described that facilitate predicting and minimizing risks associated with vehicle usage contexts. In one example, a method comprises obtaining, by a system comprising a processor, vehicle state information identifying occupants and objects of a vehicle and relative positions of the occupants and the objects about the vehicle in association with a current usage context of the vehicle. The method further comprises determining, by the system, an assessment of potential injuries associated with the current usage context of the vehicle based on analysis of the vehicle state information, wherein the analysis comprises evaluating potential movement of the occupants and the objects. The method further comprises determining, by the system, risk information regarding a risk associated with the current usage context of the vehicle as a function of the assessment.
B60W 50/00 - CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT - Details of control systems for road vehicle drive control not related to the control of a particular sub-unit
B60W 40/08 - Estimation or calculation of driving parameters for road vehicle drive control systems not related to the control of a particular sub-unit related to drivers or passengers
B60W 50/14 - Means for informing the driver, warning the driver or prompting a driver intervention
Providing and using a user login protection service can include detecting, during a login creation process, input that indicates that a computing device has opted-in for protection for a login being created. During the login creation process, the login can be stored at a first data storage location, the login including an address that identifies a location of a distributed ledger and a password, and a reset password at a second data storage location comprising a secure data storage device. In response to detecting an attempt to log in to the third party device to access the resource, a value associated with the distributed ledger can be obtained, the value indicating a status of a trigger condition associated with the login. If the value is zero, the attempt to log in can be allowed to proceed. If the value is one, the attempt to log in can be blocked.
H04L 9/32 - Arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system
42.
Creating Scent Models and Using Scent Models in Cross-Reality Environments
Creating scent models and using scent models in cross-reality environments can include capturing experience data identifying a scent detected and a context in which the scent was detected. The experience data can be provided to a scent modeling service to generate a scent model that can represent perceived scents and perceived scent intensities for a user. The scent model can be used to generate cross-reality session data to be used in a cross-reality session presented by a cross-reality device. The cross-reality device can include a scent generator and can generate the cross-reality session using data obtained from the user device. The cross-reality device can generate a further scent during the cross-reality session based on the scent model.
A processing system may obtain a first network event data set associated with a telephone number, where the first network event data set includes identifier matching data associated with the telephone number. The processing system may next apply an input data set comprising at least the first network event data set to a machine learning model implemented by the processing system to obtain an authenticity score associated with the telephone number, where the machine learning model is configured to generate the authenticity score associated with the telephone number in accordance with the input data set. The processing system may next obtain a request from a first authentication service for the authenticity score associated with the telephone number and may transmit the authenticity score associated with the telephone number to the first authentication service in response to the request.
Aspects of the subject disclosure may include, for example, selecting a latency comparison, a throughput comparison, a security comparison, a reliability comparison, movement information or a combination thereof for an end user device executing a communication service according to a service type resulting in a selection criteria, wherein the comparisons are evaluations of each of different available connections; and generating a switching decision by selecting one of the connections. Other embodiments are disclosed.
Aspects of the subject disclosure may include, for example, receiving, over a communication network, a first message utilizing a first messaging application from a first communication device associated with a first user and identifying a recipient of the first message as a second user associated with a second communication device. Further embodiments can include determining that the second user utilizes a second message application to exchange a first group of messages via the second communication device resulting in a first determination, and transmitting, over the communication network, the first message to the second communication device utilizing the second messaging application based on the first determination. Other embodiments are disclosed.
A processing system including at least one processor may obtain network traffic data associated with an independent gateway that is connected to a telecommunication network, apply an input data set associated with the network traffic data of the independent gateway to at least a first detection model implemented by the processing system for detecting fake network usage, and may determine the fake network usage associated with the independent gateway from the input data set associated with the network traffic data of the independent gateway via the at least the first detection model. The processing system may then generate an alert of the fake network usage associated with the independent gateway, where the alert is generated in response to the determining.
Using a traffic monitoring service to detect traffic pattern shifts can include obtaining netflow data and routing data for core routers. Based on the netflow data and the routing data, an augmented traffic matrix can be generated. A router-level analysis can be performed on the augmented traffic matrix to identify a pair of core routers that are associated with a traffic pattern shift in the network. An entity-level analysis can be performed on the pair of core routers to identify an entity that is responsible for the traffic pattern shift in the network. Traffic shift data that identifies the pair of core routers and the entity that is responsible for the traffic pattern shift in the network can be output.
Techniques are described that facilitate intelligent management of adaptable audio-visuals of cloud-based video conferencing sessions. In one example embodiment, method comprises determining, by a system comprising a processor, capabilities of respective devices of participants of a video conferencing session provisioned via a communication network, the capabilities comprising audio-visual capabilities and connection capabilities of the respective devices related to communicating respective data streams of the video conferencing session via the communication network. The method further comprises determining, by the system, respective audio-visual settings of the video conferencing session applicable to the respective devices as a function of the capabilities of the respective devices, and controlling, by the system, performance of the video conferencing session at the respective devices in accordance with the respective audio-visual settings.
H04N 21/439 - Processing of audio elementary streams
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to MPEG-4 scene graphs
H04N 21/4788 - Supplemental services, e.g. displaying phone caller identification or shopping application communicating with other users, e.g. chatting
49.
TESTING ACCESSIBILITY OF GEOSPATIAL APPLICATIONS USING CONTEXTUAL FILTERS
A method performed by a processing system including at least one processor includes applying a contextual filter to mask a portion of at least one of: an input of a software application, an output of the software application, or an underlying dataset of the software application, where the contextual filter simulates a limitation of a user of the software application, executing the software application with the contextual filter applied to the at least one of: the input of the software application, the output of the software application, or the underlying dataset of the software application, collecting ambient data during the executing, and recommending, based on a result of the executing, a modification to the software application to improve at least one of: an accessibility of the software application or an inclusion of the software application.
Automated orienting of customer premises equipment (CPE) is disclosed. An orientation of a CPE can be automatically adapted based on a model of an environment of the CPE, an environmental condition, etc. Adapting an orientation can change roll, pitch, yaw, and skew of a whole CPE, and/or a portion of the CPE. In embodiments, a CPE can perform exploratory orienting to update a mapping of the environment of the CPE. This can enable the CPE to rank, sort, order, etc., alternate orientations to satisfy one or more rules related to operation of the CPE. This can facilitate the CPE mitigating a hazard condition, altering a performance metric, accommodating a customer preference, etc. In embodiments, a learning component can be employed to predict a preferred adjustment to an orientation based on user input, a rule, historical condition information, contemporaneous condition information, etc.
Aspects of the subject disclosure may include, for example, splitting, by one or more first hybrid couplers, an RF signal obtained from a transmitter or an antenna into a group of RF signals; filtering, by a plurality of SAW filters, the group of RF signals resulting in a group of filtered RF signals; combining, by one or more second hybrid couplers, the group of filtered RF signals into a filtered RF signal; and providing the filtered RF signal to an antenna or a receiver. Other embodiments are disclosed.
Aspects of the subject disclosure may include, for example, generating a set of SRLGs associated with a set of link bundles, wherein the set of SRLGs comprises for each SRLG in the set of SRLGs an indication for each failed link bundle in a particular SRLG a respective bandwidth failure fraction, and wherein for at least one of the failed link bundles the failure is less than a complete failure; generating a set of dominance relationships among the SRLGs in the set of SRLGs, and generating, based at least in part upon the set of SRLGs and the set of dominance relationships a packed set of SRLGs, wherein the packed set of SRLGs comprises a subset of the set of SRLGs. Other embodiments are disclosed.
The technologies described herein are generally directed to provisioning services from a network. For example, a method described herein can include facilitating receiving a provisioning request for a network provisioning task. Further, the method can include, based on the network provisioning task, selecting a logical provisioning template to facilitate a performance of the network provisioning task. Further, based on the logical provisioning template, the method can include identifying a programming object comprising logical commands for the performance of the network provisioning task. The method can include executing the logical commands of the programming object to control service implementation equipment to perform the network provisioning task.
G06F 11/34 - Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation
H04L 12/66 - Arrangements for connecting between networks having differing types of switching systems, e.g. gateways
H04L 41/5041 - Network service management, e.g. ensuring proper service fulfilment according to agreements characterised by the time relationship between creation and deployment of a service
H04L 45/50 - Routing or path finding of packets in data switching networks using label swapping, e.g. multi-protocol label switch [MPLS]
54.
APPLICATION CAPABILITY DISCOVERY AND ESTABLISHMENT ON A COMMUNICATION NETWORK
Aspects of the subject disclosure may include, for example, generating prioritized lists of OTT applications for end user devices, exchanging or otherwise providing the prioritized list(s) to enable analysis and comparison resulting in a selection of an OTT application, and establishing a communication service via the selected OTT application between the end user devices. Other embodiments are disclosed.
Aspects of the subject disclosure may include, for example, executing an OTT application; and providing an API that enables the OTT application to connect with a native SIP stack of the device, where the OTT application negotiates with a network server for one or more QoS parameters for a communication service provided via the OTT application. Other embodiments are disclosed.
A framework referred to as COmposition fRamework for chaNge management (CORNET) may integrate re-usable abstraction, modular composition with plug-and-play capabilities, or automated translation of high-level change management intent into low-level implementations and mathematical models. CORNET may use real-world data collected from cellular networks (e.g., 4G or 5G) and virtualized services, such as virtual private networks (VPN) and software defined wide area networks (SDWAN) running in the cloud.
H04L 41/0816 - Configuration setting characterised by the conditions triggering a change of settings the condition being an adaptation, e.g. in response to network events
H04L 41/0604 - Management of faults, events, alarms or notifications using filtering, e.g. reduction of information by using priority, element types, position or time
H04L 41/08 - Configuration management of networks or network elements
H04L 41/0869 - Validating the configuration within one network element
H04L 43/0817 - Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
57.
AUGMENTED REALITY-BASED UNKNOWN ADDRESS COMMUNICATION
The disclosed technology is directed towards facilitating communication with an unknown person via a device of the person having an unknown communications address. The presence of a visible person at a location can be determined, and a communications device at or near that location can be detected as a candidate device associated with that person. The device's current location, which can be regularly registered along with its communication address, is matched to the person's visible location. Communication via the device, such as by a responder, whether with the person and/or to obtain information from the device, is based on the registered communication address. The person's identity and other data may be obtainable. For a non-visible person, e.g., underneath an obstruction, the location of a detected device predicts the likely presence of a person near that location. A map may be generated showing locations of multiple detected devices.
The disclosed technology is directed towards presenting communications data to a responding entity that are relevant to an emergency situation at an emergency location. The communications data can be obtained from communications (e.g., text messages, transmitted video, voice calls and the like) that involve at least one user device at the situation, including communications that do not involve the responding entity. Users may opt in to such an emergency service to allow access to their communications, whereby their device locations are tracked and known in the event of an emergency. Upon obtaining the communications data, a responder can receive a view of the scene augmented with the communications data. The view can include a three-dimensional and/or two-dimensional representation of the zone/area of the emergency situation. Filtering can be used to eliminate irrelevant communications, and summarization can be used to combine generally redundant communications.
The disclosed technology is directed towards enabling a property, such as via a device associated with a residential or commercial property, to identify an issue and arrange for mediation of the issue. For example, a service provider can be automatically scheduled to resolve a maintenance issue at a scheduled time, with controlled (e.g., key code-based) property access granted to the service provider in the corresponding timeframe. Sensor data obtained from a sensor associated with the property can be analyzed to determine when an incident related to the property has occurred that needs mediation. An action to remediate the incident is determined and taken, such as to schedule a repair. An automated action can also be taken, e.g., to temporarily halt damage resulting from the issue until the repair can take place. If needed, communication between the party responsible for the property and the service provider is facilitated.
An example method for performing application recognition in the cloud to support application-aware functionality on customer premises equipment includes detecting a data flow associated with a customer premises equipment device, identifying an application associated with the data flow, generating a mapping that maps the application to an identifier, and providing the mapping to the customer premises equipment device.
H04L 47/2475 - Traffic characterised by specific attributes, e.g. priority or QoS for supporting traffic characterised by the type of applications
H04L 43/028 - Capturing of monitoring data by filtering
61.
DETECTION AND TRANSFER OF DEVICE CAPABILITIES BETWEEN DEVICES OF AN ECOSYSTEM OF DEVICES TO FACILITATE IMPROVEMENT OF A PERFORMANCE OF A DEFINED GROUP TASK OF THE ECOSYSTEM OF DEVICES
Detection and transfer of device capabilities between devices of an ecosystem of devices to facilitate improvement of a performance of a defined group task of the ecosystem of devices is presented herein. An ecosystem of devices task improvement system creates the ecosystem of devices comprising respective devices to facilitate sharing respective device capabilities of the respective devices with the ecosystem of devices to increase a performance, via the ecosystem of devices, of the defined group task; in response to determining the defined group task to be performed by the ecosystem of devices, determines the respective device capabilities, and shares a portion of the respective device capabilities that corresponds to a first device of the respective devices with a second device of the respective devices to facilitate increasing the performance of the defined group task.
H04W 8/22 - Processing or transfer of terminal data, e.g. status or physical capabilities
H04L 47/765 - Admission control; Resource allocation using dynamic resource allocation, e.g. in-call renegotiation requested by the user or requested by the network in response to changing network conditions triggered by the end-points
H04W 12/30 - Security of mobile devices; Security of mobile applications
H04W 24/02 - Arrangements for optimising operational condition
62.
SYSTEM AND METHOD FOR INTELLIGENT NETWORK SELECTION
Aspects of the subject disclosure may include, for example, a device, including: a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of authenticating a mobile device; receiving a query from the mobile device for a bearer selection from a plurality of bearers; receiving network parameters associated with each bearer in the plurality of bearers; identifying a selected bearer in the plurality of bearers that should be used by the mobile device; and sending an instruction to the mobile device to use the selected bearer. Other embodiments are disclosed.
A processing system including at least one processor may obtain a request from a first entity to train a machine learning model, access at least one data feature of at least a second entity, and train the machine learning model on behalf of the first entity in accordance with the at least one data feature of the at least the second entity to generate a trained machine learning model, where the at least one data feature of the at least the second entity is a restricted data feature that is inaccessible to the first entity. The processing system may then provide the trained machine learning model to the first entity.
The disclosed technology is directed towards generating an annotated visual playback of an incident. Upon obtaining notification of an incident, event data occurring in the incident zone and timeframe are obtained (e.g., collected) from sensors proximate the zone. The event data is used to annotate a visual playback captured by one or more cameras, e.g., within a timeframe ranging from some time before the incident occurred to the end of the incident. For example, a video can be presented with overlaid annotation data, each annotation describing an event as it occurred in time, in conjunction with an advancing timestamp overlay showing the time of the video frames. A simulated video, e.g., extended reality video, can also be generated, along with annotations and timeframe data, such as if captured from camera(s) from one or more various different perspectives.
Aspects of the subject disclosure may include, for example, obtaining first data pertaining to an outage in a first portion of a communications system, obtaining second data pertaining to a relationship between the first portion of the communications system and a second portion of the communications system, analyzing the first data the second data to identify a risk to communication services facilitated by the second portion of the communications system, determining that the risk is greater than a threshold, and generating, based on the determining, a recommendation for reducing the risk. Other embodiments are disclosed.
H04L 41/0654 - Management of faults, events, alarms or notifications using network fault recovery
H04L 41/22 - Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks comprising specially adapted graphical user interfaces [GUI]
H04L 43/045 - Processing captured monitoring data, e.g. for logfile generation for graphical visualisation of monitoring data
Aspects of the subject disclosure may include, for example, monitoring bandwidth availability on a network for a streaming video session; calculating, responsive to a decrease in the bandwidth availability preventing delivery of a whole video frame to a client device at a predefined resolution, a high focus area and a low focus area of the video frame, where the high focus area includes less than a full frame area of the video frame; and delivering the video frame to the client device, where the high focus area is delivered at the predefined resolution, and the low focus area is delivered at a resolution less than the predefined resolution. Other embodiments are disclosed.
A63F 13/358 - Adapting the game course according to the network or server load, e.g. for reducing latency due to different connection speeds between clients
A63F 13/335 - Interconnection arrangements between game servers and game devices; Interconnection arrangements between game devices; Interconnection arrangements between game servers using wide area network [WAN] connections using Internet
67.
SYSTEM AND METHOD OF SOFTWARE DEFINED NETWORK ENABLED SLICING AS A SERVICE UTILIZING ARTIFICIAL INTELLIGENCE
Aspects of the subject disclosure may include, for example, receiving workload requests for tenant devices providing services to user devices; partitioning node resources to facilitate network slicing in a software defined network to provide the services; determining that the workload requests exceed available resources of the node; and outsourcing a portion of a load to one or more neighboring nodes, where the outsourcing is performed in coordination with a regional orchestrator and a SDN intelligence module. Other embodiments are disclosed.
H04L 41/122 - Discovery or management of network topologies of virtualised topologies e.g. software-defined networks [SDN] or network function virtualisation [NFV]
H04L 41/147 - Network analysis or design for predicting network behaviour
H04L 41/16 - Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence
68.
MULTI-OPERATOR CORE NETWORK (MOCN) INTELLIGENT CBRS RADIO CONTROL
Aspects of the subject disclosure may include, for example, determining one or more characteristics associated with a mobile device accessing a communication service via a wireless network; determining whether the one or more characteristics satisfy a threshold for accessing a Citizen Band Radio Service (CBRS) network; and responsive to the one or more characteristics satisfying the threshold, facilitating access by the mobile device to the CBRS network to continue providing the communication service. Other embodiments are disclosed.
Aspects of the subject disclosure may include, for example, connecting to a network core of a cellular network, wherein the connecting comprises a broadband connection utilizing tunneling to a security gateway; and assuming a functionality of Radio Access Network (RAN) to facilitate providing of a communication service to a wireless device, wherein a portion of the functionality is provided over a Citizen Band Radio Service (CBRS) band. Other embodiments are disclosed.
Aspects of the subject disclosure may include, for example: determining whether a Subscriber Identify Module (SIM) profile that supports communication via Citizen Band Radio Spectrum (CBRS) is present on a device, resulting in a determination; responsive to the determination being that the SIM profile that supports the communication via the CBRS is present on the device, providing to a user via an interface an element that permits the user to select enabling of communication via the CBRS, disabling of communication via the CBRS, or any combination thereof; receiving from the interface a selection by the user, wherein the selection indicates either an instruction by the user to enable the communication via the CBRS, or an instruction by the user to disable the communication via the CBRS; and responsive to the selection: enabling the communication via the CBRS in a first case that the selection indicates the instruction by the user to enable the communication via the CBRS; or disabling the communication via the CBRS in a second case that the selection indicates the instruction by the user to disable the communication via the CBRS. Other embodiments are disclosed.
Aspects of the subject disclosure may include, for example, specification of network service functions (e.g., a firewall or network address translation appliance) to be included in a service function path. Routers in a communication network may publish information regarding reachable network service functions and an API may be exposed that provides the information regarding the reachable network service functions. Other embodiments are disclosed.
Aspects of the subject disclosure may include, for example: obtaining for each of a plurality of subscribers to a wireless service that uses a licensed radio spectrum a respective user profile; determining based upon a particular user profile of a particular subscriber that the particular subscriber has access to a Citizen Band Radio Spectrum (CBRS), resulting in a determination; responsive to the determination being that the particular subscriber has access to the CBRS, generating an instruction to a user device of the particular subscriber to utilize the CBRS; and transmitting the instruction to the user device of the particular subscriber. Other embodiments are disclosed.
H04W 48/08 - Access restriction or access information delivery, e.g. discovery data delivery
H04W 48/04 - Access restriction performed under specific conditions based on user or terminal location or mobility data, e.g. moving direction or speed
The disclosed technology is directed towards providing guidance, e.g., point-to-point audio guidance, along an evacuation route. The presence of occupant(s) within a structure/area is monitored. If an evacuation event occurs, an evacuation route is determined for each occupant based on their current monitored starting location. Guidance is output, e.g., by various output devices along the evacuation route, which can be the safety monitors that monitor occupant presence, to guide each occupant from point-to-point along the evacuation route. For example, one monitor can be configured to hand off guidance responsibility to a next monitor along the evacuation route. The guidance can be customized for each known occupant based on their recognized features, or can be directed generally to an unknown occupant. Status information of the occupants can be provided to other occupants and to a responding entity. A responding entity can also be given directional guidance.
The disclosed technology is directed towards efficiently identifying a first entity (e.g., a user or sensor) as a potential witness to an event. A first dataset describing event time data and event location data of an event are obtained from a first device. A second dataset describing device time data and device location data are obtained via a device associated with a second entity, e.g., a user. By analyzing the first and second datasets, e.g., for time and location intersection, the second entity can be identified as a potential witness to the event, and notified of such. Factors such as line of sight, speed and direction, audio sensing range versus event volume, and the like of the second entity can be used in determining whether the second entity is a likely witness. A witness to a live event can be identified and asked to send in live (e.g., video) evidence.
Facilitating elastic distributed computing for resource intensive tasks including split rendering in advanced networks is provided herein. Operations of a system include receiving information indicative of a request for split rendering for an application executing at a user equipment. The information is received via a transport protocol header extension. The operations can also include, based on the information indicative of the request, determining that an available computational resource capacity at the user equipment is insufficient to process the application executing at the user equipment. Further, the operations can include, based on the determining, enabling a first rendering of a first portion of the application at a first device and a second rendering of a second portion of the application at a second device different from the first device.
An architecture related to notifying user equipment of communication transportation functionality and/or facility shifts between a wired communication transportation framework and a wireless communication transportation framework. A method can comprise determining a decrease in a number of data packets flowing through a wireline network interface over a defined period of time, based on the number of data packets, determining that the wireline network interface is failing, generating a notification comprising a data record comprising a field representing a state associated with the failing wireline network interface, and sending the notification to a user equipment.
Enabling machine-to-machine communication for digital assistants can include initiating a call with a called device, generating audio stream data having a first instance of audio and a first spoken command, which can be provided to the called device. A second instance of audio stream data can be received from the called device, can include a second spoken command, and can be analyzed to determine if it includes assistant signature data. If the second instance of audio stream data includes the assistant signature data, the devices can switch to machine-to-machine communications.
Aspects of the subject disclosure may include, for example, determining a group of coefficients for a digital filter, and configuring the digital filter according to the group of coefficients. Further embodiments can include processing a group of statistics associated with a first data flow utilizing the digital filter, and determining a first statistic from the group of statistics does not satisfy a statistical threshold resulting in a first determination. Other embodiments are disclosed.
Aspects of the subject disclosure may include, for example, identifying a first location of an antenna, causing a first ray to be emitted from a second location that is different from the first location, generating reflected surfaces from surfaces that the first ray reflects from, generating a reflected first location of the first location using the surfaces that the first ray reflects from, identifying, based on the reflected first location, potential locations along the surfaces that the first ray reflects from using the reflected surfaces, and verifying, based on the potential locations, that the first ray traverses a valid path between the first location and the second location. Other embodiments are disclosed.
Aspects of the subject disclosure may include, for example, detecting a plurality uplink data packets on a network, the plurality of uplink data packets conveying application protocol messages from an application on a mobile device to an application server providing a service to the application on the mobile device over the network; providing data packets of the plurality uplink data packets to a machine learning model, the machine learning model trained to identify respective application protocol messages from the data packets; receiving from the machine learning model an indication that a start video download application protocol message has been identified by the machine learning model, the start video download application protocol message requesting initiation of a video download to the application on the mobile device from the application server; detecting a plurality of downlink data packets on the network, the plurality of downlink data packets conveying video content data to the mobile device in response to the start video download application protocol message; comparing a watch time for displaying the video content data on the mobile device by the application and a download data time; and determining a stall event has occurred based on the comparing. Other embodiments are disclosed.
H04N 21/41 - Structure of client; Structure of client peripherals
H04N 21/25 - Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication or learning user preferences for recommending movies
H04N 21/442 - Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed or the storage space available from the internal hard disk
H04N 21/61 - Network physical structure; Signal processing
In one example, a method includes receiving a selection of a learning activity by a student, retrieving a profile for the learning activity, retrieving a profile for the student, determining that no conflict exists between the profile for the learning activity and the profile for the student, and delivering, in response to the determining, the learning activity to a user endpoint device of the student, wherein the delivering includes granting the user endpoint device of the student a control over a network connected device that is located in a separate physical environment from the user endpoint device of the student.
G09B 5/14 - Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations with provision for individual teacher-student communication
G09B 5/12 - Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations different stations being capable of presenting different information simultaneously
82.
FACILITATING ELASTIC DISTRIBUTED COMPUTING FOR RESOURCE INTENSIVE TASKS INCLUDING SPLIT RENDERING IN ADVANCED NETWORKS
Facilitating elastic distributed computing for resource intensive tasks including split rendering in advanced networks is provided herein. Operations of a system include receiving information indicative of a request for split rendering for an application executing at a user equipment. The information is received via a session description protocol session. The operations can also include, based on the information indicative of the request, determining that an available computational resource capacity at the user equipment is insufficient to process the application executing at the user equipment. Further, the operations can include, based on the determining, enabling a first rendering of a first portion of the application at a first device and a second rendering of a second portion of the application at a second device different from the first device.
H04L 69/00 - Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
83.
Adaptable Resiliency for a Virtualized RAN Framework
Adaptable resiliency for a virtualized radio access network (vRAN) framework is disclosed. A resiliency management component can determine vRAN topological adaptations that can reflect resiliency requirements of service instance(s). Accordingly, sufficient redundant vRAN components to satisfy the resiliency requirements can be deployed. However, unlike conventional redundancy techniques that can determine a highest level of redundancy and then apply that relative to all supported services, the disclosed subject matter can avoid over-deploying redundant vRAN components, e.g., redundant components exceeding the resiliency requirement of a service instance, resulting in lowered monetary and non-monetary costs to maintain a vRAN. Moreover, as the services change, the topology of the vRAN can be automatically adapted to purge excessive redundancies, add newly required redundancies, etc., which can facilitate propagating an adequate but lean vRAN topology that is sufficiently resilient.
Aspects of the subject disclosure may include, for example, a method of receiving, by a processing system including a processor, a plurality of routes in a network through a routing device having a fabric, a first set of distributed chassis packet forwarders (DCPs) that support external service interfaces and a second set of DCPs; storing, by the processing system, the plurality of routes in a forwarding information base (FIB); determining, by the processing system, a third set of routes in the FIB having a high volume of usage; determining, by the processing system, a fourth set of routes in the FIB having a low volume of usage; copying, by the processing system, the third set of routes to the first set of DCPs; and copying, by the processing system, the fourth set of routes to the second set of DCPs. Other embodiments are disclosed.
Aspects of the subject disclosure may include, for example, a routing device in a network, the routing device including an ingress/egress linecard; another linecard; a fabric; a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of maintaining a forwarding information base (FIB) for routes through the routing device; moving low-volume routes of the FIB to the another linecard; and moving high-volume routes of the FIB to the ingress/egress linecard, wherein the ingress/egress linecard looks up a route of an incoming data packet, determines whether the incoming data packet bears a high-volume route prefix, forwards the incoming data packet bearing the high-volume route prefix through the fabric and out of the routing device, and sends the incoming data packet bearing a low-volume route prefix through the fabric to the another linecard, and wherein the another linecard forwards the incoming data packet received from the ingress/egress linecard out of the routing device. Other embodiments are disclosed.
The disclosed technology is directed towards associating a rescue tag with a victim in need of rescue, in which the rescue tag collects condition (biological state) data associated with the victim and provides a location of the rescue tag. The location data is maintained in association with the condition data. A responder makes a request to output the condition data, and in response, the responder's device is presented with an augmented reality display that shows the victim condition data relative to the location data. Multiple victims can be efficiently triaged, with more urgent victims highlighted via augmented reality for more urgent treatment. Filtering as requested by a responder can present augmented reality display for only a subset of the victims. Also described is the use of an aerial vehicle to assist the responders and/or a command center; the aerial vehicle can act as an edge node for efficient communication.
Aspects of the subject disclosure may include, for example, providing, by a global node, a model to a group of nodes of a network, the model being associated with determining a configuration of the network for qubits; receiving, by the global node from one or more nodes of the group of nodes, updated model parameters, wherein the updated model parameters are generated by each of the one or more nodes via training of a local model utilizing the model and local data accessible to the particular node of the one or more nodes resulting in local nodes; generating, by the global node, an updated model based on the updated model parameters, the updated model being associated with determining the configuration of the network for the qubits; and providing, by the global node, the updated model to the group of nodes of the network, wherein the updated model facilitates managing distribution and usage of entangled qubit storage in devices of the network as reserve hybrid quantum-classical network capacity for bandwidth and computing. Other embodiments are disclosed.
G06N 10/20 - Models of quantum computing, e.g. quantum circuits or universal quantum computers
H04L 41/16 - Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence
The disclosed technology relates to detection of attention exhibited by a second user to a first user's avatar in a virtual reality environment. A first user's avatar activity and the second user's activity are evaluated to determine the second user's (e.g., via another avatar) attention level directed towards first user's avatar. Information can be sent to notify the first user that the second user's attention level has satisfied attention-level criterion data. For example, if the second user is viewing and/or is within audio range of the first user for too long of a time or too frequently, then the first user can be notified and/or other action taken. Remedial action is available for negative attention, such blocking the second user from experiencing the first user in the environment. Detection of attention for positive purposes is available, such as to reward an influencer whose avatar is receiving significant attention from followers.
G06T 13/40 - 3D [Three Dimensional] animation of characters, e.g. humans, animals or virtual beings
G06T 19/00 - Manipulating 3D models or images for computer graphics
G06F 3/04815 - Interaction with a metaphor-based environment or interaction object displayed as three-dimensional, e.g. changing the user viewpoint with respect to the environment or object
89.
SUPPORTING MOVEMENT OF 5G PROTOCOL DATA UNIT SESSIONS TO HIGHER PRIORITY NETWORK ROUTES
In one example, a method includes detecting that a user equipment device has moved to a location in a telecommunications network in which a first network route is available, where the first network route has a higher priority than a second network route with which an application executing on the user equipment device has established a current protocol data unit session, determining that the application should switch the current protocol data unit session to the first network route, and supporting the application in switching the current protocol data unit session from the second network route to the first network route.
A method includes monitoring environmental conditions surrounding a moving vehicle, using an on-board sensor of the moving vehicle, detecting that at least one of the environmental conditions surrounding the moving vehicle is likely to impair visibility for a driver of the moving vehicle, based on an output of the on-board sensor, acquiring static map data for a location surrounding the moving vehicle, acquiring real time sensor data for the location surrounding the moving vehicle, where the real time sensor data comprises outputs of a plurality of on-board sensors of a plurality of other vehicles, generating an augmented reality view of the location surrounding the moving vehicle, using the static map data, the real time sensor data, and the output of the on-board sensor, and displaying the augmented reality view of the location surrounding the moving vehicle on a display within the moving vehicle.
B60W 50/14 - Means for informing the driver, warning the driver or prompting a driver intervention
B60K 35/00 - Arrangement or adaptations of instruments
B60W 40/02 - Estimation or calculation of driving parameters for road vehicle drive control systems not related to the control of a particular sub-unit related to ambient conditions
Respective implementations facilitating a mobile core connection router are provided. A method can include establishing, by a system comprising a processor, a connection to a virtualized core network instance, associated with a first computing device, via a mobility tunneling protocol; in response to the establishing of the connection, initializing, by the system, a virtualized router function based on a routing table; and routing, by the system and via the virtualized router function, data traffic between the virtualized core network instance and a second computing device, communicatively coupled to the system and distinct from the first computing device.
The disclosed technology is directed towards virtual reality collaboration spaces with associated context data. Once created, a virtual reality collaboration space can be pervasively existent, such that the space can be joined or returned to as needed by any admitted participants. The existence of a created collaboration space in association with its collaboration context data can be advertised to specific invitees or general invitees, and can be searchable. In general, upon receiving a reservation request for reservation of a virtual reality collaboration space, a virtual location for the collaboration space is reserved. Access is granted to requesting entities authorized to access the space. Permissions can differ for different invitees, e.g., such that only permitted users can access proprietary information presented as a virtual reality element within the collaboration space. The collaboration space can also be used to drop off virtual reality elements, e.g., from one user to another user.
G06T 15/00 - 3D [Three Dimensional] image rendering
H04L 65/401 - Support for services or applications wherein the services involve a main real-time session and one or more additional parallel real-time or time sensitive sessions, e.g. white board sharing or spawning of a subconference
93.
UNINTERRUPTED TRANSFER OF CARRIERS BETWEEN BASEBAND UNIT SERVER RESOURCES
Described is allocating and deallocating server instances (e.g., comprising baseband unit resources) of a distributed unit based on need for user equipment session handling. For example, when user equipment sessions load a server instance to a threshold capacity, an additional server instance can be allocated to handle new user equipment sessions. Any selected carrier subgroup, which can correspond to a cell's carriers, can be selected for assigning any newly incoming, unassigned user equipment sessions associated with the selected carrier subgroup to the newly allocated, additional server instance. As prior sessions end, the load decreases on the server that had reached the threshold capacity. When the total hub load decreases, deallocation of a no-longer used server instance can be performed. Deallocation can include transferring any remaining session, e.g., long-lasting sessions, to a different server instance. Load balancing and/or resource consolidation, without service interruption, is thus achievable within a hub.
Aspects of the subject disclosure may include, for example, systems, devices, components, and methods for providing first data to a first waveguide device via a first medium of a first assembly, wherein the first waveguide device incorporates the first data as part of a first electromagnetic wave that is guided by, and propagates along, a first transmission medium coupled to the first waveguide device without requiring an electrical return path, and providing the first data, second data, or a combination thereof, to a second waveguide device via a first medium of a second assembly, wherein the second waveguide device incorporates the first data, the second data, or the combination thereof as part of a second electromagnetic wave that is guided by, and propagates along, a second transmission medium coupled to the second waveguide device without requiring the electrical return path. Other embodiments are disclosed.
Aspects of the subject disclosure may include, for example, determining a personalized cloud service requirement based on a user identity and proximity to a first location. A first edge network is configured based on the personalized cloud service requirement and the first location, and the user is provided with access to a personalized cloud service via the configured first edge network according to their proximity to the first location. A second, different location is determined, and a second edge network is configured based on the personalized cloud service requirement and according to the second location. The user is provided with access to the personalized cloud service via the configured second edge network according to their proximity to the second location. In this manner, the edge network may be reconfigured to effectively follow the user, thereby extending remote access to a consistent, personalized cloud service. Other embodiments are disclosed.
Concepts and technologies are disclosed herein for seamless personal hotspot connectivity via personal hotspot tokens. According to one aspect disclosed herein, a personal hotspot-enabled device can include a processor and a memory. The memory can store instructions of an operating system and a personal hotspot application. The personal hotspot-enabled device can receive a personal hotspot token. The personal hotspot application can recognize, via a short-range communication component, a device identification associated with a peripheral device operating in proximity to the personal hotspot-enabled device. The personal hotspot application can request the personal hotspot token from the operating system. The personal hotspot application can inform the operating system of the device identification. The personal hotspot application can then receive the personal hotspot token associated with the device identification. The operating system can create a personal hotspot. The operating system can automatically authenticate the peripheral device to connect to the personal hotspot.
Providing and using an activity logging service can include registering an activity logging service with a hash ledger storage service that can store a hash ledger that represents an activity log for an entity, and registering an observer device with the activity logging service. The observer device can provide event data to the activity logging service, and the event data can describe an event associated with the entity. The event data can be obtained from the observer device and a block that represents the event can be generated. A block can be added to the activity log, and a hash of a portion of the activity log can be generated and sent to the hash ledger storage service. The hash ledger storage service can be configured to append the hash of the portion of the activity log to the hash ledger that represents the activity log for the entity.
The technologies described herein are generally directed to using a reflective surface to reflect a signal from access point equipment to signal receiving equipment in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include receiving a request from access point equipment to establish a communications session between the access point equipment and a user equipment. The method can further include identifying a reflective surface to facilitate a connection between the user equipment and the access point equipment using a mode of communication, resulting in reflected path information corresponding to a reflected path usable by the mode of communication for the communications session. Further, the method can include communicating to the access point equipment, mode information corresponding to the mode of communication and the reflected path information.
H04B 7/06 - Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
The disclosed technology is directed towards virtual reality bookmarks that maintain state data for a user in a virtual reality environment, such that the user can to return to that virtual reality environment at a later time. While presenting virtual reality session content to a user, a system or the like can receive a request to pause the virtual reality session from a user. Session state data, e.g., in the form of a virtual reality bookmark, is saved based on the pause request. A later request to resume presentation of the virtual reality content results in the system accessing the virtual reality session data, which is used to present resumed virtual reality session content to the user based on the session state data. A pause request may be for an individual user or for each user participating in a session. Virtual reality bookmarks may be shared with other users.
The disclosed technology is directed towards presenting a medical practitioner with information that assists the practitioner in communicating with a given patient. Baseline data describing a medical patient is obtained, such as from one or more previous visits. The baseline data can be compared with current data, e.g., sensed by patient biosensors and/or discerned from a current video of the patient during the visit. Historical and/or known healthy data can be used as baseline data. Interaction data representing an interaction (e.g., a conversation during a current visit) between the medical practitioner and the medical patient is determined. Based on the baseline data and the interaction data, during the interaction between the medical practitioner and the medical patient the medical practitioner can be presented with coaching data to assist the medical practitioner in communicating with the patient.
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
G06V 40/10 - Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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