At&t Intellectual Property I, L.p.

At+t Corp.

John F Murray

Christopher W Rice

Rittwik Jana

Mazin E Gilbert

Robert Raymond Miller, Ii

Syed Anwar Aftab

Albert T Chow

Shu Shi

Thomas Kirk

Harry R Worstell

Ron Shacham

Varun Gupta

Serban Jora

Saeed S Ghassemzadeh

Manoop Talasila

Avi Zahavi

Kazi Farooqui

Yue-Chuan Chu

Ningming Hua

David Crawford Gibbon

Behzad Shahraray

Reuben Klein

Richard Henry Erving

Donald John Bowen

Brian Dean Freeman

Guy Jacobson

Samuel Glazer

Gerald Ezrol

Paul Edward Smith, Jr

Vaneet Aggarwal

Gerald Michael Karam

Cagatay Buyukkoc

Yu Zhou

Michael Hwang

Vimal Begwani

Arthur Martella

Tarek Elgamal

Oliver Spatscheck

Lusheng Ji

Bo Han

Vijay Gopalakrishnan

Jesse Eugene Russell

Tan Xu

Kaustubh Joshi

Shankar Krishnan

Robert Miller

Kevin Donnellan

Stephen Charles North

Christopher Rath

Bo Yan

Constance Jean Coty

Michelle Martens

Rittwick Jana

Alexander Shatov

Richard W Wright

A model-driven system automatically deploys a virtualized service, including multiple service components, on a distributed cloud infrastructure. A master service orchestrator causes a cloud platform orchestrator to retrieve a cloud services archive file, extract a cloud resource configuration template and create cloud resources at appropriate data centers as specified. The master service orchestrator also causes a software defined network controller to retrieve the cloud services archive file, to extract a cloud network configuration template and to configure layer 1 through layer 3 virtual network functions and to set up routes between them. Additionally, the master service orchestrator causes an application controller to retrieve the cloud services archive file, to extract a deployment orchestration plan and to configure and start layer 4 through layer 7 application components and bring them to a state of operational readiness.

Model driven process for automated deployment of domain 2.0 virtualized services and applications on cloud infrastructure

Aspects of the subject disclosure may include, for example, receiving network-related information associated with a first RAN that includes a first RIC, obtaining, from an artificial intelligence (AI) model synchronization system associated with a second RAN, data relating to an AI model deployed by a second RIC of the second RAN, determining, based on the data relating to the AI model and the network-related information associated with the first RAN, that the AI model can be leveraged by the first RAN to improve network performance of the first RAN, performing synchronization with the AI model synchronization system to obtain the AI model, responsive to the determining that the AI model can be leveraged by the first RAN to improve the network performance of the first RAN, and causing the first RIC to deploy the AI model in the first RAN after the performing the synchronization. Other embodiments are disclosed.

Synchronization of artificial intelligence based microservices

An intelligent agent monitors operation of at least one software virtualized network (VN). Context information associated with the VN is used to analyze a state of the VN. At least one configuration change is caused to the VN in response to analysis of the state of the VN. A change is identified to the state of the VN caused by the configuration change. A determination is made as to whether or not the change to the state of the VN is an improvement to operation of the VN. A response to the determination is made by causing at least one other configuration change to the VN.

Systems and methods to control operation of virtualized networks

A system may allow for generic end user mobile devices to be operated using a virtualized personal device framework. The virtualized personal device framework may provide for a collective intelligence network platform that allows offloading of heavy computing processes onto virtual instance in a cloud network and enables crowd sourcing services for smart cities that may provide smart emergency services in which end-users collaborate.

5G and SDN powered virtualized personal device framework

Aspects of the subject disclosure may include, for example, obtaining a model of a communication network, applying first data to the model to generate an updated model, processing the updated model to establish a first control, enabling first communications in the communication network in accordance with the first control, obtaining first parametric data regarding the first communications in the communication network that are based on the first control, processing the first parametric data in accordance with the updated model to generate an updated first control, and enabling second communications in the communication network in accordance with the updated first control. Other embodiments are disclosed.

Method and apparatus for controlling disaggregated radio access networks

Aspects of the subject disclosure may include, for example, a process or apparatus for receiving, by a processing system including a processor, cell traffic reports for cells of a radio communication network, performing a reconfiguration analysis to identify reconfiguration information to reconfigure the radio communication network according to changing network conditions, and communicating the reconfiguration information defining a new cell configuration for the cells of the radio communication network and communicating information defining a new reconfiguration time for the cells to substantially synchronously switch to communicating according to the reconfiguration information. The receiving the cell traffic reports, the performing the reconfiguration analysis and the communicating the reconfiguration information occur in substantially real time. Other embodiments are disclosed.

Radio access network intelligent controller-based dynamic time division duplex communication in a radio communication network

A cloud services composition system allows customers to interactively create service constructs from network function virtualization resources. The network function virtualization primitives are modeled using a standard modeling language. An expert system suggests network function virtualization resources for use in the service construct, based on an expert system learning algorithm. The customer uses a graphical user interface to interconnect the resources and create the service construct. The process may involve collaboration with the network provider. The resulting construct is validated for use in a communications network.

Method and apparatus for autonomous services composition

A system can obtain a labelled data set, including historic video data and labelled events. The system can divide the labelled data set into historic training/testing data sets. The system can determine, using the historic training data set, a plurality of different parameter configurations to be used by a video encoder to encode a video that includes a plurality of video frames. Each parameter configuration can include a group of pictures ('GOP') size and a scenecut threshold. The system can calculate an accuracy of event detection ('ACC') and a filtering rate (&#x201c;FR&#x201d;) for each parameter configuration. The system can calculate, for each parameter configuration of the plurality of different parameter configurations, a harmonic mean between the ACC and the FR. The system can then select a best parameter configuration of the plurality of different parameter configurations based upon the parameter configuration that has the highest harmonic mean.

Data-driven event detection for compressed video

A method may include a processing system having at least one processor for receiving a first machine learning model, the first machine learning model in a first format associated with a first development environment, adapting the first machine learning model to a containerized environment, validating the first machine learning model according to at least one validation criterion associated with a repository, and publishing the first machine learning model to the repository.

Network-based machine learning microservice platform

A method may include obtaining a state diagram of a software management system, wherein the software management system manages at least a first software and configuring a license usage management system based on the state diagram.

License usage management

Aspects of the subject disclosure may include, for example, embodiments comprising obtaining a plurality of original frames for video content, receiving a first viewpoint from a mobile device, and processing the plurality of original frames according to the first viewpoint generating a plurality of first viewpoint frames. Further embodiments include providing the plurality of first viewpoint frames to the mobile device, generating a group of delta frames in response to receiving a change in viewpoint from the mobile device, and providing the group of delta frames to the mobile device. The mobile device processes a portion of the plurality of first viewpoint frames according to the group of delta frames to generate a group of second viewpoint frames and the mobile device presents the group of second viewpoint frames. Other embodiments are disclosed.

Methods, devices, and systems for updating streaming panoramic video content due to a change in user viewpoint

Growing community of inventors

Morris County, NJ, United States of America

John F Murray