Verizon Patent and Licensing Inc.

Cellco Partnership

Celico Partnership

Arda Aksu

Lalit R Kotecha

Jin Yang

Donna L Polehn

Vishwanath Ramamurthi

Patricia Ruey Chang

David Chiang

Sagiv Draznin

Priscilla Lau

Maria G Lam

Yee Sin Chan

Deepak Kakadia

Steven Roy Rados

John F Macias

Thomas H Tan

Sanyogita Shamsunder

Thomas W Haynes

Mingxing Li

Jay J Lee

Yuexin Dong

Ozgur Dural

Jyothi Keshavdas

Jignesh Shantilal Panchal

Suzann Hua

Derek Hongwei Bao

Patricia Ruey-Jane Chang

Daryl M Low

Sudhakar Reddy Patil

Niranjan B Avula

Zheng Zhao

William Howard Stone, Jr

Lily H Zhu

Andrew E Youtz

Xin Wang

Imtiyaz Shaikh

Lei Song

Christopher M Schmidt

Matthew W Nelson

Balaji L Raghavachari

Samirkumar Patel

Iftekhar Rahman

Kent William Hughes

Gerardo S Libunao

Arvind Aggarwal

Paul R Mcdonough

Max Aaron Solondz

Siegfried Erhard Eichinger

Ye Huang

Miguel Angel Carames

Xuming Chen

Krishna K Bellamkonda

Kumar Sanjeev

Imtiaz Shaikh

Parvez Ahmad

Derek Hongwei H Bao

Michael Kondratiuk

Lin Sun

Jack T Tang

Greg Augustus Rusu

Vijaya Paduvalli

Riyaj Uddin Ahmed

Laszlo Joseph Herczku

A method, a device, and a non-transitory storage medium are described in which an integrated access and backhaul service is provided. The integrated access and backhaul service may include an admission control service that manages admission control based on access and backhaul capacities of an integrated access and backhaul network such that access and backhaul capacities at any integrated access and backhaul device are not exceeded. The integrated access and backhaul service may include a capacity allocation service. The capacity allocation service may provision scheduling and resource allocation to support a performance metric and/or other criteria at an integrated access and backhaul device based on access and backhaul demands and capacities.

Method and system for admission and capacity control for integrated access and backhaul network

A base station may allocate wireless communication resources to configure a synthetic wireless communication signal for use as a radar signal. The synthetic wireless communication signal may be configured according to a wireless communication protocol of a wireless communication network that is associated with the base station. The base station may transmit, from an antenna and toward an area associated with the base station, the synthetic wireless communication signal. The base station may detect a reflected signal that is associated with the synthetic wireless communication signal. The base station may process the reflected signal to generate radar data; and perform an action associated with the radar data and the area.

Systems and methods for enabling and utilizing radar capability on a wireless communication

A method may include transmitting multiple antenna beams to an unmanned aerial vehicle (UAV) and determining a location of the UAV. The method may also include identifying a network slice to service the UAV, assigning the identified network slice to the UAV and performing antenna beam management for the UAV while the UAV is in flight.

Unmanned aerial vehicle detection, slice assignment and beam management

A device may receive device data identifying Internet of Things (IoT) devices and may receive network data identifying network traffic patterns associated with the IoT devices. The device may process the device data and the network data, with a machine learning model, to determine parameters for charging each of the IoT devices and may determine that a particular IoT device of the IoT devices requires charging based on particular parameters associated with the particular IoT device. The device may receive location data identifying a location of the particular IoT device and may cause, based on the location data, one or more chargers to wirelessly provide a radio frequency power beam to the particular IoT device based on the particular parameters.

Systems and methods for wirelessly charging internet of things devices

A Multi-access Edge Computing (MEC) device receives first parameters associated with a user device from a first radio access network (RAN) device. The MEC device performs functions associated with an application being executed by the user device and the MEC device is co-located with the RAN device. The MEC device receives second parameters associated with the user device from a core network device. The MEC device modifies performance of the functions based on the received first and second parameters and provides third parameters associated with the user device to a second RAN device that is co-located with the MEC device for adjusting performance of a network.

MEC integration with RAN facilities

A device may receive channel data associated with a channel provided between a network and a user device, and may calculate, based on the channel data, key performance indicator data that includes a plurality of key performance indicators for the channel. The device may multiply the plurality of key performance indicators by factors to generate factored key performance indicator data that includes a plurality of factored key performance indicators. The device may apply weights to the plurality of factored key performance indicators of the factored key performance indicator data to generate factored weighted key performance indicator data that includes a plurality of factored weighted key performance indicators. The device may calculate a quality indicator for the channel based on the factored weighted key performance indicator data, and may perform one or more actions based on the quality indicator for the channel.

Systems and methods for determining initial channel quality conditions of a channel for provision of content

A system described herein may provide a technique for the discovery and connection of Mesh Distributed Units ('MDUs'), which may establish a mesh topology and perform wireless backhaul of data between a core network and a User Equipment (“UE”). Multiple MDUs in an MDU network may be connected to establish an MDU route. One or more connected MDUs may broadcast an indication that the MDU is available to connect, one or more performance metrics, or an MDU performance score based on performance metrics. This broadcast may iteratively repeat in order to refine the mesh network topology in an ongoing process.

Systems and methods for refining topology of a distributed unit mesh in a radio access network

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 network device may instantiate a first process in a first Multi-Access Edge Computing (MEC) cluster within a first MEC network; register the first MEC network at a MEC cloud; receive a call from the first process to obtain information from a second process in a second MEC cluster within a second MEC network that is registered at the MEC cloud; create a first message based on the call; send the first message from the first MEC cluster to the second MEC cluster; receive, at the first MEC cluster, a second message from the second MEC cluster, wherein the second message is provided by the second MEC cluster in response to receiving the first message; and extract a return value from the second message, wherein the return value is generated by the second process in response to receipt of the call in the second MEC cluster.

Multi-access Edge Computing cloud discovery and communications

A method and device is disclosed to select a network access link for an application in a user equipment (UE) device to use for communicating with a network. The method may include determining a plurality of network access links associated with the UE device and determining one or more criteria associated with a request to access a network. The criteria may include throughput, financial cost, latency, or signal strength. The method may include determining a score for each of the plurality of network access links with respect to the criteria. The score score may be based on historical data related to the criteria. The method may include comparing the score for each of the plurality of network access links with the criteria and selecting one of the network access links for an application to use to communicate with the network.

Optimized user equipment network access selection

A charging function device may include a processor configured to obtain subscription information associated with a user equipment (UE) device in a wireless communication network. The processor may be further configured to receive, from a gateway device, data flow information relating to data flows associated with the UE device; receive, from a policy device, policy information relating to policies applied to the data flows associated with the UE device; generate a record for the UE device based on the received data flow information and the received policy information, wherein the record identifies at least one account charge based on a particular data flow associated with the UE device; and provide the generated charging record to an account system.

Systems and methods for granular charging in mobile wireless networks

A method, a device, and a non-transitory storage medium are described in which an scheduling service is provided. The scheduling service includes calculation of a priority value, on a per end device basis, based on throughput information and tuning parameter values. The priority value may also be calculated based on a radio access network slice weight. The scheduling service may calculate a schedule for transmission of data to an end device based on the priority value, available network resources, and a quality of service profile associated with a quality of service flow of the end device.

Method and system for scheduling data transmissions based on priority value and radio access network slice weight

Embodiments described herein provide for a hybrid network device to serve as a zero- or low-latency relay for communications between a wireless network, such as a licensed wireless network, and one or more other devices. The hybrid network device may establish a connection with a base station of a wireless network via a licensed radio access technology ('RAT'). The hybrid network device may communicate with one or more devices via an unlicensed RAT. The hybrid network device of some embodiments may aggregate communications from devices and may serve as a single connection endpoint with respect to the base station, such that the base station need not maintain a relatively large number of connections to accommodate a relatively large quantity devices.

Systems and methods for wireless mesh network devices operating on multiple radio access technologies

Growing community of inventors

Martinez, CA, United States of America

Arda Aksu