Verizon Patent and Licensing Inc.

Indraneel Sen

Yuk Lun Li

Yuexin Dong

Weimin Liu

Dan Sun

Kyriaki Konstantinou

Mohammad Raheel Khalid

Ravi K Sharma

Rohit Shirish Saraf

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 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

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 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

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

A wireless network optimizing node receives key performance indicators (KPIs) from a base station of a cell site providing wireless service within a geographic area, wherein the KPIs are associated with wireless communication between beams of an antenna array of the cell site and User Equipment. The node determines a current cell site capacity usage for the cell site based on current wireless network usage parameters received from the cell site and determines a need for an additional antenna array to provide adequate coverage and capacity for the geographic area based on the current cell site capacity usage and the first KPIs. The node determines an optimum location within the geographic area for adding the additional antenna array.

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Livingston, NJ, United States of America

Indraneel Sen