Verizon Patent and Licensing Inc.

Verizon Patent and Acessing Inc.

Rohit Shirish Saraf

Bhumip Khasnabish

John Aceron

Yuk Lun Li

Stephane Chaysinh

John A Turato

Nimalan Kanagasabai

Deepak Chadaga

Robert Malupin

Serhad Doken

Dan Sun

Indraneel Sen

Praveen Nair

Andrew Philip Genualdi

Ritika S Kagale

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

Embodiments described herein provide for the dynamic adjustment of traffic associated with audiovisual conferences or other types of communication sessions in situations where a network connection of one or more conference participants exhibits issues that may affect audio and/or video quality. The adjustment may include the determination at a particular conference participant (e.g., a particular User Equipment ('UE')) of degraded network conditions, the generation of condensed conference information at the UE, and the outputting of the condensed conference information via the network. The condensed conference information may be included in control signaling. The condensed conference information may be used to generate reconstructed conference information, which may be distributed to other conference participants.

Systems and methods for dynamic audiovisual conferencing in varying network conditions

Disclosed are systems and methods for improving interactions with and between computers in content providing, streaming and/or hosting systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide a novel conference framework that automatically determines and prioritizes speaker allocation within a conference in order to remedy and/or avoid conflicts between speakers so that a clear and decisive dialog can occur. The disclosed conference framework balances a determined weighting factor and queue management ranking of the conference to provide a prioritized speaker queue that enables all participants to speak without conflict or interruption. The disclosed systems and methods enable a prioritized, conflict-resolution based conferencing environment where orderly conferencing can occur while maintaining each participants rights to participate accordingly.

Computerized system and method for video conferencing priority and allocation using mobile edge computing

Provided are systems and methods for performing dynamic spectrum allocation and state shifting in order to provide high quality stateful services to user equipment ('UE') that access the stateful services from different network locations. The dynamic spectrum allocation and state shifting may include tracking mobility of a UE accessing a stateful service using a first allocation of spectrum from a first Radio Access Network ('RAN'), predicting continued stateful service access via a second RAN, determining latency requirements of the stateful service, selecting a second allocation of spectrum at the second RAN with a frequency range that provides a first amount of latency, transferring the stateful service state to a Multi-Access Edge Computing (&#x201c;MEC&#x201d;) location that provides a second amount of latency for services accessed via the second RAN such that the first and second amounts of latency satisfy the performance requirements of the stateful service.

Systems and methods for ubiquitous availability of high quality stateful services across a network

Systems and methods provide an adaptive avatar-based real-time holographic communication service. End devices implement a customized avatar for holographic communications. With the assistance of a network edge platform, a user's facial motions and gestures are extracted in real time and applied to the customized avatar in the form of an augmented-reality-based or virtual-reality-based holographic entity. When a connection to the network edge platform is interrupted or not available, a master holographic entity provides a graceful fallback to a less resource-intensive avatar presentation using, for example, a user's prerecorded motions as a basis for rendering avatar movement. The customized avatar may be automatically adjusted/altered depending on with whom a user is communicating (e.g., a friend vs. a business associate) or a purpose for the communication (e.g., a professional meeting vs. a social activity).

Methods and system for adaptive avatar-based real-time holographic communication

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

Systems and methods provide an intelligent vehicle to everything (iV2X) service that ensures robust communication of teleoperations and other data. An edge slice proxy system is used to incorporate edge platforms into network slicing considerations. A network device may receive a request for a connection from an end device, such as a vehicle requiring the iV2X service, via wireless signals. The network device may detect that the request is a request for an iV2X service and assign the end device to a network slice that supports stateful and robust iV2X services. The network slice may include one of the virtual network functions executed on the edge platform.

Methods and system for robust service architecture for vehicle-to-everything communications

Systems and methods described herein perform computer vision (CV) model training in a distributed edge network. Regional Multi-access Edge Compute (MEC) clusters are provided with a local copy of a CV model and a local synthetic training data generator. A MEC cluster receives client data requiring computer vision and applies the local copy of the CV model to the client data. The MEC cluster detects an exception to the local copy of the CV model and generates local synthetic training data for the exception. The MEC cluster updates, based on the local synthetic training data, the local copy of the CV model to form an updated local CV model. The MEC cluster sends the local synthetic training data and the updated local CV model to a central network. The central network uses the local synthetic training data to update a master CV model and any other interconnected CV models.

Methods and system for training and reinforcing computer vision models using distributed computing

Provided are systems and methods that use artificial intelligence and/or machine learning to dynamically allocate services at different times and at different network edge locations within a Multi-Access Edge ('MEC') enhanced network based on a multitude of factors that change the priorities of the services at the different times and at the different edge locations. For instance, a MEC controller, controlling the allocation of resources at a particular edge location, may modify the allocation of services at that particular edge location at different times based on time and/or location sensitive events that occur at different times and that relate to different services, changing usage patterns that are derived from prior service utilization, and/or categorization of the services as permanent, time insensitive, or other categories of services with permissions to execute at different times from different edge locations.

Systems and methods for dynamic multi-access edge allocation using artificial intelligence

A device may receive, from a user device, a request to activate an extended reality experience. The device may obtain access network information relating to a set of access networks available to the user device and user device information relating to the user device. Based on the access network information and the user device information, the device may determine an access network to use for the extended reality experience. The device may determine, based on the access network, a first portion of the extended reality experience to execute locally or a second portion of the extended reality experience to execute remotely.

Systems and methods for optimizing extended reality experiences

A method, a device, and a non-transitory storage medium provide to receive from an end device, a first measurement of a signal transmitted by a wireless station and measured by the end device outside of a building; receive, from the end device, a second measurement of a signal transmitted by the wireless station and measured by the end device inside the building; calculate, based on the first measurement and the second measurement, a path loss, for a second frequency, between a future generation cell site and the building; calculate a received signal power of the future generation cell site based on the path loss; compare the received signal power to a threshold value; determine, based on the comparison, whether the building is qualified to receive future generation equipment to be placed in the building.

Method and system for qualification and placement of next generation equipment based on modeling

A method, a device, and a non-transitory storage medium provide to receive from an end device operated by a user, a measurement of a signal transmitted by a wireless station of a wireless access network to the end device, wherein the measurement is taken outside of a building; receive, from the end device, another measurement of a signal transmitted by the wireless station to the end device, wherein the other measurement is taken inside the building; calculate, based on the first measurement and the second measurement, a path loss, for a second frequency, between a future generation cell site and the building; calculate a received signal power of the future generation cell site based on the path loss; compare the received signal power to a threshold value; determine, based on the comparison, whether the user is qualified to receive future generation equipment to be placed in the building.

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Nashua, NH, United States of America

Rohit Shirish Saraf