Verizon Patent and Licensing Inc.

Cellco Partnership

Atlassian Inc.

Celico Partnership

Atlassian Corporation Pty Ltd.

Atlassian Us, Inc.

Cellco Partnership D/b/a Verizon Wireless

David Chiang

Lalit R Kotecha

Donna L Polehn

Patricia Ruey Chang

Arda Aksu

Deepak Kakadia

John F Macias

Steven Roy Rados

Jay J Lee

Thomas W Haynes

Yee Sin Chan

Jin Yang

Priscilla Lau

Patricia Ruey-Jane Chang

Sagiv Draznin

Vishwanath Ramamurthi

Maria G Lam

Derek Hongwei Bao

Vikram K Rawat

Derek Hongwei H Bao

Sergio Aguirre

Mingxing Li

Thomas H Tan

Kent William Hughes

Jyothi Keshavdas

Kumar Sanjeev

Benjamin J Parker

Lee K Tjio

Brian Olson

Vijay T Madhav

Nithya Krishnaswamy

Ye Huang

James Mathison

Xuming Chen

Lei Song

Emerando M Delos Reyes

Arvind Basra

Scott Anthony Townley

Said Hanbaly

Chris S Neisinger

Sanyogita Shamsunder

Thaddeus Jude Dudziak

Jack T Tang

Brett I Rogers

David M Alward

James A Wales

A system described herein may provide for the tracking and/or calculating of performance metrics associated with a network by marking traffic and determining performance characteristics of the marked traffic. Such performance characteristics or metrics may include throughput, latency, jitter, and/or other metrics. The marking may be performed on 'user' traffic, which may be traffic that is generated or sent via the network by an application or service (e.g., a voice call service, a content streaming service, etc.), as opposed to “synthetic” or “test” traffic, which is traffic that is generated or sent for the purposes of testing performance of the network (e.g., traffic related to a “speed test” or the like).

Systems and methods for tracking and calculating granular network performance metrics based on user traffic

A device of a network may receive a session configuration message for an application session associated with an application of a user equipment (UE) that provided the session configuration message. The device of a network may identify, from the session configuration message, a quality of service (QoS) profile for the application session. The device of a network may determine that the application is authorized to use a network slice of the network that satisfies one or more QoS thresholds of the QoS profile. The device of a network may identify resources of the network that can be configured to satisfy the one or more QoS thresholds. The device of a network may instantiate the resources for communication of application data of the application session. Instantiating the resources may enable the UE to communicate the application data via the network slice using the resources.

Systems and methods for network slice selection according to application specific request

An illustrative network management system obtains sensor data from one or more sensors at a network facility at which network equipment of a communication network is deployed. The sensor data includes image data representing imagery of the network facility. The system determines a utilization of a utility at the network facility based on the sensor data and performs, based on the utilization, a management operation for the communication network. Corresponding methods and systems are also described.

Systems and methods for utilities-based network management

A network device may be configured to: send a preemptive scheduling request to an Integrated Access and Backhaul (IAB) node over a wireless link between the network device and the IAB node; receive a scheduling grant from the IAB node over the wireless link; and send data to the IAB node over the wireless link at times indicated by the scheduling grant from the IAB node.

System and method for low latency integrated access and backhaul

A method, performed by a server device, may include receiving a request to activate an application session, the request being received from a user equipment on behalf of a particular application installed on the user equipment. The method may further include determining one or more application requirements associated with the particular application; determining conditions associated with one or more application servers; selecting a particular one of the one or more application servers based on the determined one or more application requirements and based on the determined conditions; and setting up the application session between the user equipment and between the selected particular one of the one or more application servers.

Wireless network cloud computing resource management

A system described herein may provide a technique for enhanced authentication techniques that leverage network-based location determination of UEs, such as mobile telephones or other devices that communicate with a wireless network. For example, a wireless network may monitor, determine, or otherwise maintain information regarding the geographic location of User Equipment ('UEs') that are associated with the wireless network. Some embodiments may utilize such network-monitored location information to verify that a participant device, associated with a given UE, is located within a particular proximity of the UE when performing an authentication process to receive services or resources.

Systems and methods for enhanced authentication techniques using network-implemented location determination

A system described herein may provide a technique for the network-implemented detection of locations that exhibit excessive density of individuals, and/or for the detection of individuals who do not maintain a minimum level of distance between each other. Location information of one or more User Equipment ('UEs') may be monitored and compared to policy information to determine that the locations exhibit at least a threshold level of population density. Further, remedial measures may be taken when such situations are detected, such as alerting devices that are located within, or are heading towards, such locations.

Systems and methods for network-implemented distancing enforcement

A system described herein may provide for the tracking and/or calculating of performance metrics associated with a network by marking traffic and determining performance characteristics of the marked traffic. Such performance characteristics or metrics may include throughput, latency, jitter, and/or other metrics. The marking may be performed on 'user' traffic, which may be traffic that is generated or sent via the network by an application or service (e.g., a voice call service, a content streaming service, etc.), as opposed to 'synthetic' or &#x201c;test&#x201d; traffic, which is traffic that is generated or sent for the purposes of testing performance of the network (e.g., traffic related to a &#x201c;speed test&#x201d; or the like).

A device may obtain, from a user equipment (UE), first information relating to one or more signal strengths measured by the UE. A signal strength of the one or more signal strengths may be associated with a beam of a radio node. The device may identify, based on the first information, a particular signal strength that is associated with a particular beam. The device may select, based on the particular beam, one or more related beams that are associated with the particular beam. The one or more related beams may be associated with the particular beam based on historical data relating to historical signal strengths measured by a plurality of UEs. The device may provide, to the UE, second information that identifies the one or more related beams selected, to permit the UE to communicate using the one or more related beams.

Systems and methods for selecting radio beams

An illustrative workload management system obtains resource utilization data representing utilization of network equipment of a communication network, obtains utilities data representing information about utilities at network facilities at which the network equipment is deployed, and assigns, based on the resource utilization data and the utilities data, a workload among the network equipment deployed at the network facilities. Corresponding methods and systems are also described.

Systems and methods for utilities-based workload management in a communication network

A system may use optical character recognition ('OCR') techniques to identify license plates or other textual information associated with vehicles. Based on this OCR information, the system may determine additional information, such as users associated with the vehicles. The system may further obtain other information, such as history information associated with the vehicles and/or the users (e.g., via an 'opt-in' data collection service). Ad content may be selected based on trends associated with the users and/or vehicles, and may be presented via &#x201c;smart&#x201d; billboards (e.g., billboards that may dynamically display different content).

Presenting smart billboard content based on optical pattern recognition of vehicle information

An illustrative system includes a network device, of a wireless network, configured to determine location information associated with a user equipment (UE) connected to the wireless network, encode the location information in a resource assignment signal configured to assign a resource of the wireless network for use by the UE, and transmit the resource assignment signal including the encoded location information to the UE. The UE may be configured to receive the transmitted resource assignment signal including the encoded location information, decode the encoded location information, and use the location information for one or more operations of the UE, such as to determine a geographic location of the UE.

Location information for user equipment connected to a wireless network

A system comprising: one or more server devices to: set a first network threshold level for determining network congestion in a network; set rate limiting criteria for determining when one or more subscribers will be rate limited; detect an increase in network congestion at a base station above the first network threshold level; identify one or more subscribers meeting one or more of the rate limiting criteria; rate limit network traffic associated with the one or more subscribers; detect a decrease in network congestion at the base station below a second network threshold level; and remove the rate limiting of the network traffic associated with the one or more subscribers.

Dynamically provisioning subscribers to manage network traffic

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Fremont, CA, United States of America

David Chiang