Verizon Patent and Licensing Inc.

Cellco Partnership

Celico Partnership

Yuk Lun Li

Manuel Enrique Caceres

Indraneel Sen

Nanjun Qian

Yuexin Dong

Weimin Liu

Brigitte Bastaldo-Tsampalis

Praveen Venkataramu

Dan Sun

Christopher M Schmidt

Ashfaq Kamal

Jun Yuan

Mohammad Raheel Khalid

Mauricio Pati Caldeira De Andrada

Ning Zhang

Neil S Mehta

Andrew E Youtz

Ratul Kumar Guha

Rohit Shirish Saraf

Gerardo S Libunao

Siva Sandeep Dhandu

Kyriaki Konstantinou

Ji Hoon Kim

Xin Ren

Gopinath Venkatasubramaniam

Asif Nooruddin Batada

John P Chin

Warren Hojilla Uy

Taussif Khan

Balaji L Raghavachari

Jeremy Nacer

Arvind Basra

Zheng Zhao

Joel Stephen Angiolillo

Young Rak Choi

Christian Egeler

Christopher Lee Rutledge

Ruben Cuadrat

Ravi K Sharma

Prakash C Khanduri

David Anthony Philbin

Paul R Mcdonough

Sm Masudur Rahman

Paul Berman

Dorothy Beau Morley

Ai Mitsufuji

Mohammad Ashfaq Kamal

Tom Daniel

Nolan Quentin Eng

David J Strumwasser

Joseph Peter Kuhn, Iii

Sidharth R Sibal

Kevin Gerard Brennan

Sheela Thimmappa

Gregory Dial

Eugene Young

Aneeta F Arestani

Niloufer Adil Tamboly

Praveen Nair

Ritika S Kagale

Nicole Winston

Rohit Sharma

Craig Jackowski

Damodar Bhandarkar

Antoinette Donofrio

Disclosed are systems and methods for a power management framework that can computationally minimize the power consumption of a device with Real-Time Kinematic (RTK) enabled. The disclosed framework can analyze the operating characteristics of a device (e.g., applications executing, movement, battery level, signal strength and current battery consumption of the device, and the like), which can provide an indication of the device's need for updated location information, and determine a frequency for updating RTK. Thus, the disclosed framework provides computerized mechanisms for the automatic optimization between the need for an RTK power update and the device's capabilities for actually performing the update.

System and method for device power management

A device may store first data structures that include first data identifying computing resources provided at an edge of a network for a computing environment. The device may store second data structures that include second data identifying aggregations of portions of the first data, and may store a third data structure that includes third data identifying an aggregation of the second data. The device may receive, from a first client device, client data identifying an address and resources associated with the first client device, and may update a first data structure based on the client data. The device may update a second data structure based on updating the first data structure, and may update the third data structure based on updating the second data structure. The device may provide a notification indicating that the first client device has been added as a computing resource for the computing environment.

Systems and methods for providing discovery and hierarchical management of distributed multi-access edge computing

A network device in a Multi-Access Edge Computing (MEC) cluster is configured to: receive, from a wireless station, information associated with a User Equipment (UE) device that is wirelessly attached to a network through the wireless station and estimate a first time interval to complete a task for the UE device based on the information. If the first time interval is less than a threshold time interval, the processor is to: signal, through the wireless station, to the UE device to be in a connected state; execute the task; and send a result of the execution, through the wireless station, to the UE device.

Multi-access edge computing assisted device state transitions

A first network device may receive a notification over a network; in response to the notification, cause a virtualized operating system (OS) and a hypervisor of the first network device to obtain state units from one or more of first hardware components and virtual components; create a context state transfer package (CSTP) based on the state units; and forward the CSTP from the first network device to a second network device over the network. The second network device may receive the CSTP from the first network device; unpack the CSTP to obtain the state units; and put, at the second network device, second hardware components and virtual components of the second network device in a same state as the first hardware components and virtual components when the state units were obtained at the first network device.

Systems and methods for securely sharing context between MEC clusters

A device obtains previously created data content. The device unmasks and extracts one or more chain of custody blocks stored in association with the data content. The one or more chain of custody blocks includes chain of custody data identifying who, when, where, and, with what hardware and/or software, created or edited the data content. The device analyzes the one or more chain of custody blocks and validates an origination of the data content based on the analysis of the one or more chain of custody blocks.

Data content chain of custody and integrity validation

A system may include a first device and a second device. The first device may be configured to select a second device for providing a first User Equipment device (UE) with media clips in accordance with Application Programming Interface (API) calls from a second UE. The second device may be configured to: receive a first API call from the second UE to generate and provide a media clip; generate the media clip; and send the generated media clip to the first UE.

Systems and methods for composing and providing media clips using distributed computing architecture

A method may include receiving, at a wireless station, device capability information associated with a number of user equipment (UE) devices and determining, by the wireless station, uplink and downlink configurations for a number of carriers associated with the wireless station. The method may also include configuring uplink and downlink time slots for each of the carriers based on the determined uplink and downlink configurations and modifying the uplink and downlink configurations for at least some of the carriers over time based on data usage or congestion associated with the at least some of the plurality of carriers.

Systems and methods for managing uplink and downlink throughput

Techniques described herein may be used to conserver battery power of an Internet of Things (IoT) tracker by increasing the overall amount of time that the IoT tracker is in a battery conservation mode (a sleep mode, a Power Save Mode (PSM), etc.). An IoT tracker may implement a battery conservation policy that may include instructions that cause the IoT tracker to monitor certain conditions, determine when the conditions satisfy a particular trigger, and implement a battery conservation mode in response to those conditions. Examples of such conditions may include (1) the IoT tracker being close to a user device designated to track the location of the IoT tracker, (2) identifying that a current time and day are associated with a pre-selected schedule for disabling tracking services, (3) the IoT tracker being located within a particular geographic area, and more.

Power management of an IoT tracker

An illustrative orchestration system is configured to provide, to a user equipment (UE) device communicatively coupled to a federation of compute clusters, cluster selection data for a subset of compute clusters from the federation of compute clusters. The cluster selection data is configured to facilitate the UE device in characterizing the compute clusters of the subset with respect to a service optimization policy. The orchestration system is further configured to receive, from the UE device, an orchestration request indicative of a compute cluster selected by the UE device based on the characterizing of the compute clusters of the subset. The orchestration system is configured to then orchestrate, in response to the orchestration request, fulfillment of a service request to be performed by the selected compute cluster for the UE device. Corresponding methods, systems, and devices are also disclosed.

Methods and systems for orchestrating distributed computing resources

A stream management platform may receive a request to provide, via a network, a content stream to an area, wherein the request indicates a requested latency associated with providing the content stream to the area. The stream management platform may determine an entry node of the network that is to receive the content stream from a content source. The stream management platform may identify a plurality of transmission nodes associated with the area. The stream management platform may determine respective latencies associated with multicasting the content stream from the entry node to the plurality of transmission nodes. The stream management platform may determine whether the respective latencies satisfy the requested latency. The stream management platform may perform, based on whether the respective latencies satisfy the requested latency, an action associated with the content stream according to the respective latencies.

Content stream multicasting with relative latency for media devices

A device may include a memory storing instructions and processor configured to execute the instructions to receive a video image stream of a scene. The device may be further configured to perform person detection on the received video image stream to identify a plurality of persons; perform gesture detection on the received video image stream to identify a gesture; select a person from the plurality of persons to associate with the identified gesture; and use the identified gesture to enable the selected person to control an object or area displayed on a video screen associated with the scene.

Systems and methods for controlling video wall content using air gestures

An example described herein includes a device to receive, from a user device, a request message to split processing, of an application, between the user device and the server device; determine a processing capability of the server device; and determine whether the server device is capable of executing a process of the application based on the processing capability of the server device. When the server device is determined to be capable of executing the process of the application, the device may: send an acceptance message to the user device, wherein the acceptance message identifies a first set of processes of the application and includes instructions to permit the user device to execute the first set of processes; and execute a second set of processes of the application, wherein the user device executes the first set of processes of the application substantially simultaneously as the server device executes the second set of processes of the application.

Systems and methods for splitting processing between device resources and cloud resources

A network device receives one or more first key performance indicators (KPIs) associated with a cell site providing wireless service within a geographic area and determines at least one first capacity usage parameter associated with the cell site providing the wireless service. The network device determines placement of an additional antenna array within the geographic area to provide a certain coverage and capacity for the geographic area based on the one or more first KPIs and the determined at least one first capacity usage parameter.

Systems and methods for optimizing wireless network coverage, capacity, and throughput

Systems and methods described herein provide a multi-access edge computing (MEC) prediction service. A network device in a MEC network receives a predicted MEC route for an end device executing an application instance. The predicted MEC route identifies a projected time when the end device will connect to the network device for services and a service requirement for the application instance. The network device reserves resources to service the application instance at the projected time, based on the predicted MEC route. The network device provides a computing service for the application instance using the reserved resources when the end device initiates a data session with the network device.

Method and system for predictive edge resources

An exemplary user equipment ('UE') device provides a service request to an orchestration system associated with a federation of compute clusters available to fulfill the service request. The UE device also identifies a service optimization policy associated with a user preference for balancing performance priorities during fulfillment of the service request. In response to the service request, the UE device receives cluster selection data from the orchestration system. Based on the cluster selection data, the UE device characterizes compute clusters, within a subset of compute clusters represented in the cluster selection data, with respect to the performance priorities. Based on the service optimization policy and the characterization of compute clusters in the subset, the UE device selects a compute cluster from the subset to fulfill the service request. The UE device then provides an orchestration request indicative of the selected compute cluster to the orchestration system.

Methods and devices for discovering and employing distributed computing resources to balance performance priorities

Growing community of inventors

Morganville, NJ, United States of America

Yuk Lun Li