AT&T Intellectual Property I, LP

University of Minnesota

Indiana University

University of Utah Research Foundation

University of Illinois

The Hong Kong University of Science and Technology

University College Cork

University of Michigan

At&t Mobility II LLC

Purdue Research Foundation

The University of Melbourne

Vijay Gopalakrishnan

Bo Han

Kadangode K Ramakrishnan

Rittwik Jana

Emir Halepovic

Feng Qian

Muhammad Bilal Anwer

Zhi-Li Zhang

Yang Zhang

Seungjoon Lee

Jeffrey Erman

Rakesh Sinha

Jackson Jarrell Pair

Manuel Briand

Vikash Sharma

Lusheng Ji

David Lee Applegate

Matteo Varvello

Fang Yu

Aaron Francis Archer

John F Lucas

Sassan Pejhan

Shuai Hao

Alan L Glasser

Carlos Eduardo De Andrade

Andrew G Gauld

Xuan Kelvin Zou

Jacobus Erasmus Van Der Merwe

Oliver Spatscheck

Subhabrata Bapi Sen

Sarat Puthenpura

Tan Xu

Yang Xu

Weiyi Zhang

Jeffrey Pang

Pan Hui

Hulya Seferoglu

Chengwei Wang

Aisha Syed

Wenxiao Zhang

Will Adams Culpepper

Muhammad Usama Chaudhry

Shanyu Zhou

Balajee Vamanan

Joshua Reich

Mazin E Gilbert

Divesh Srivastava

Zihui Ge

Vaneet Aggarwal

Jennifer Yates

Simon D Byers

Christopher Volinsky

Eric Noel

Vinay Anant Vaishampayan

Aman M Shaikh

Cheuk Yiu Ip

Xu Chen

Balagangadhar Bathula

Lien K Tran

Cormac John Sreenan

David John Poole

Samrat Bhattacharjee

Kyung-Wook Hwang

Marco Platania

Ahmed Zahran

Darijo Raca

Kadangode K Ramankrishnan

David Lee

Theodore Karagioules

Kyle Robert Bilbray

Shibin Mathew

Eric Martin Zavesky

John F Murray

Zhengye Liu

Peshala Vishvajith Pahalawatta

Zhuoqing Morley Mao

Angela L Chiu

Ajay Mahimkar

Shu Shi

Mithuna Shamabhat Thottethodi

Vishal Misra

Daniel Rubenstein

Sneha Kumar Kasera

Matthew Osinski

Shankaranarayanan Puzhavakath Narayanan

Pramod Jamkhedkar

Bo Yan

Kostas Oikonomou

Terani Nadadoor Vijaykumar

Prasanna Ramachandran

Deborah F Swayne

Christopher May

Ashiwan Sivakumar

Sanjay Rao

Qingyang Xiao

Deborah Cathey

Sumit Maheshwari

Arijit Banerjee

Sanae Leah Madeleine Rosen

Chamil Jayasundara

Aspects of the subject disclosure may include, for example, a method in which a processing system obtains information from a network element of a communication network that includes cells each associated with user equipment devices (UEs); the information includes mapping data for each of the cells and the UEs associated with the respective cells, and the network element is in communication with the processing system via the communication network. The method also includes generating a historical record of cell load data representing content distributed to the cells from the processing system; determining that a cell is congested, based on the historical record; and performing a congestion shaping (CS) procedure for each of the UEs associated with the congested cell. Other embodiments are disclosed.

Congestion-aware traffic management using historical load data and real-time cell mapping

A method includes acquiring a playlist identifying a plurality of video files to be played back during a video streaming session on an endpoint device, obtaining, from an operator of a communications network over which the video files are to be downloaded, a maximum throughput for the video streaming session, selecting a subsequent video file that is scheduled in the playlist for playback after a playback of a currently playing video file, wherein the subsequent video file includes a plurality of chunks, selecting, based on the maximum throughput and for each of the chunks, a variant, such that a plurality of variants is selected in which each variant corresponds to one chunk of the plurality of chunks, wherein the variants are selected to maximize a utility function that is constrained by the maximum throughput, and downloading the plurality of variants to a local buffer of the endpoint device.

Optimization of bitrate adaptation and prefetching for short-form video

A method includes acquiring a playlist identifying video files and an order in which the video files are to be played back during a video streaming session on an endpoint device, obtaining, from an operator of a communications network over which the video files are to be downloaded, a maximum value of a streaming parameter for the video streaming session, selecting a subsequent video file that is scheduled for playback after a playback of a currently playing video file, wherein the subsequent video file includes a plurality of chunks, selecting, for each chunk, a variant, such that a plurality of variants is selected in which each variant corresponds to one chunk of the plurality of chunks, wherein the selecting the variant is based on both the maximum value and a measured value for the streaming parameter, and downloading the plurality of variants to a local buffer of the endpoint device.

Bitrate adaptation and prefetching for short-form video

Aspects of the subject disclosure may include, for example, obtaining predicted available bandwidths for an end user device, monitoring buffer occupancy of a buffer of the end user device, determining bit rates for portions of media content according to the predicted available bandwidths and according to the buffer occupancy, and adjusting bit rates for portions of media content according to the predicted available bandwidths and according to the buffer occupancy during streaming of the media content to the end user device over a wireless network. Other embodiments are disclosed.

Method and system for managing service quality according to network status predictions

Aspects of the subject disclosure may include, for example, a method for spherical video streaming over a network by a processing system including a processor, the method including prefetching audio data for rendering the spherical video; determining whether there is a single source or a plurality of sources of audio in the audio data; responsive to a determination that there is only one dominant source of the audio in the audio data, prefetching video data in a field of view centered on spatial coordinates of the dominant source of audio; responsive to a determination that there is the plurality of sources of the audio in the audio data, sorting the plurality of sources of the audio according to an estimated sound source energy for each source in the plurality of sources, thereby creating a sorted list of the plurality of sources; and prefetching video data in plural fields of view centered on spatial coordinates of each audio source in the sorted list of the plurality of sources, wherein the prefetching is performed in an order corresponding to the sorted list, and wherein the prefetching occurs within an available bandwidth of the network. Other embodiments are disclosed.

Method of audio-assisted field of view prediction for spherical video streaming

Systems and methods are disclosed for parallelizing service function chains. A method comprises receiving a sequential service function chain comprising a plurality of network functions, receiving a plurality of operations, determining at least two network functions are capable of being parallelized, aggregating operations of the plurality of operations associated with the at least two network functions into a network function segment, determining whether another network function is capable of being parallelized with the network function segment, based on the determining: aggregating an operation associated with the another network function into the network function segment when the another network function is capable of being parallelized with the network function segment, or pushing the network function segment as a completed segment of a hybrid service function chain when the another network function is not capable of being parallelized with the network function segment, and implementing the hybrid service function chain.

Controlling parallel data processing for service function chains

Systems, computer-readable media, and methods are disclosed for parallel data processing for service function chains with network functions spanning multiple servers. An example system includes a first server hosting a first network function of a service function chain, a second server hosting a second network function of the service function chain, a mirror function deployed in a first switch to replicate a plurality of packets received by the system and to send respective copies of the plurality of packets to the first network function and to at least one of the second network function and a third network function of the service function chain, and a merge function deployed in a second switch to merge respective outputs of the first network function and the at least one of the second network function and the third network function.

Parallel data processing for service function chains spanning multiple servers

Aspects of the subject disclosure may include, for example, obtaining a first plurality of inputs that identify a plurality of geographical locations and a plurality of infrastructure located at the plurality of geographical locations, classifying each of the plurality of geographical locations in accordance with the first plurality of inputs to obtain a plurality of classes, obtaining a second plurality of inputs that identify costs, revenue, profits, or any combination thereof, associated with the plurality of infrastructure, processing the second plurality of inputs in conjunction with the plurality of classes to identify a first plurality of locations included in the plurality of geographical locations to decommission infrastructure included in the plurality of infrastructure, and presenting the first plurality of locations via a device. Other embodiments are disclosed.

Apparatuses and methods for identifying infrastructure through machine learning

Network capacity planning based on application performance can include detecting a data session occurring on a network, identifying an application being used for the data session, where the application can include a video application, determining if a performance model for the video application exists, the performance model describing performance metrics and quality of service events associated with the video application, determining, based on the performance model, a capacity planning trigger for the video application, where the capacity planning trigger can include increasing network capacity based on the needs and a quality of service associated with the video application during the data session, and generating a command that, when executed by a network entity, causes the network entity to implement the capacity planning trigger on the network.

Network capacity planning based on application performance

Aspects of the subject disclosure may include, for example, embodiments for selecting a first camera from one or more cameras communicatively coupled to a computing device. Further embodiments include adjusting a first hardware controller on the first camera in response to detecting a network condition of a communication network resulting in an adjusted first camera. Additional embodiments include capturing first video content with the adjusted first camera. Also, embodiments include transmitting the first video content to a video content server over the communication network. Other embodiments are disclosed.

Methods, systems and devices for adjusting panoramic view of a camera for capturing video content

Aspects of the subject disclosure may include, for example, a method including providing a video presentation to user devices. A latency related to the video presentation is determined for each device; a high-latency user device is identified having greater latency than other, low-latency devices. Field of view information is analyzed for each of the low-latency devices; based on the analyzing, a field of view of the high-latency user device is predicted. In accordance with the predicting, a predicted viewing map for the high-latency user device is generated. The video presentation for the high-latency user device is adjusted based on the predicted viewing map. Other embodiments are disclosed.

Field of view prediction in live panoramic video streaming

Aspects of the subject disclosure may include, for example, obtaining live video content from equipment of a media content provider, determining priority content within the live video content; segmenting the live video content into a plurality of tiles according to the priority content, and transcoding the live video content according to a type of client device. Further embodiments include determining an encoding schedule for the plurality of tiles according to the priority content, encoding the plurality of tiles according to the encoding schedule, and providing the plurality of tiles to the client device. Other embodiments are disclosed.

Methods, devices, and systems for encoding portions of video content according to priority content within live video content

Aspects of the subject disclosure may include, for example, receiving content that includes a 360-degree video, determining that guidance is enabled with respect to the content, obtaining an input responsive to determining that the guidance is enabled, and obtaining the guidance with respect to a playback of the content, where the obtained guidance is based on the input. Other embodiments are disclosed.

Method and apparatus for navigating through panoramic content

Growing community of inventors

Edison, NJ, United States of America

Vijay Gopalakrishnan