At&t Intellectual Property I, L.p.

Hewlett Packard Enterprise Development LP

Broadcom Corporation

Sbc Knowledge Ventures, L.p.

Nebuon, Inc.

Jin Wang

Zhengye Liu

Xidong Wu

Yali Liu

Raghvendra Savoor

Mark H Brady

Siamak Nazari

Srinivasa D Murthy

Bo Han

Donglin Hu

Richard Dennis Hart

Rajarajan Sivaraj

Canhui Ou

Stephen Albert Sposato

Kapil Vishwas Shrikhande

Gary Tennyson

Dhruv Gupta

Rittwik Jana

Yongdong Zhao

Kimming So

Roopesh Kumar Tamma

Raj Savoor

Subhabrata Bapi Sen

Baofeng Jiang

Weihua Ye

Xiaojun Tang

Paritosh Bajpay

David H Lu

Chen-Yui Yang

Varun Gupta

Anthony Mark Srdar

David Kimble

Ming Ma

Laurie Bigler

Bruce Alden Schine

Xiaochuan Yi

Bharath Balasubramanian

Jonathan Stewart

Kittipat Apicharttrisorn

Oliver Spatscheck

Wei Wang

Alexandre Gerber

Feng Zhou

Jennifer Yates

Mung Chiang

Michael J Merritt

Stuart Blackburn

John Porter Van Slyke

Zuxian Guo

Shankar Iyer

Mark Doherty

Paul Kinnaird

Pierre Labat

Ganeshan Krishnamurthi

Jonathan McDowell

The technologies described herein are generally directed to modeling radio wave propagation in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include, for a network application, identifying, by a system comprising a processor, a characteristic value of a performance characteristic associated with an uplink connection enabled via a network of a user equipment to application server equipment hosting the network application. The method can further include, based on the characteristic value and a criterion, selecting, by the system, a first packet size for the uplink connection. The method can further include communicating, by the system, to the user equipment, the first packet size for use with the uplink connection.

Streaming augmented reality data in a fifth generation (5G) or other next generation network

Server selection for improving latency with an instance of a service is disclosed. Generally, lower core latency is preferable. Core latencies can be related to a physical distance between endpoints connected via a communication pathway, such as a first server and second server connected via network equipment. A geographic distance between endpoints can be different from a topological distance of a communication pathway between endpoints. Endpoints, e.g., servers, can be ranked based on topological distance. The ranking can be communicated to service provider equipment to enable selection of a server based on a corresponding ranking of the server. Selection of an endpoint based on topological distance can enable improved latency in comparison to selecting an endpoint based on geographical distance. Improved latency can result in an improved quality of experience for a user of a service supported by an endpoint selected based on topological distance.

Server selection for reducing latency with a service instance

Aspects of the subject disclosure may include, for example, obtaining data pertaining to a communication service facilitated at least in part by a first gateway located in a building, the communication service involving at least a first user equipment, analyzing the data to determine that a processing load supported by the first gateway exceeds a first threshold, wherein the first threshold is expressed as a function of a capacity of the first gateway, resulting in a determination, and based on the determination, performing an action that causes the processing load supported by the first gateway to be reduced to a level that is less than the first threshold. Other embodiments are disclosed.

Apparatuses and methods for facilitating a remote gateway on a cloud platform

A method includes obtaining a first plurality of encrypted traffic flows traversing a communication network, performing a first classification, wherein a result of the first classification identifies a traffic type associated with each encrypted traffic flow of the first plurality of encrypted traffic flows, and wherein the first classification is based on a traffic pattern of the each encrypted traffic flow, performing a second classification, wherein a result of the second classification identifies a traffic type associated with each server name indication from which the first plurality of encrypted traffic flows is associated, and wherein the second classification is based on the result of the first classification, and performing a third classification identifying a traffic type associated with each encrypted traffic flow of the first plurality of encrypted traffic flows, wherein the third classification is based on a combination of the results of the first classification and the second classification.

Classification of encrypted internet traffic

Storage redundancy may be resynchronized without determining a snapshot difference. A storage component () owning a volume () can maintain current and expected generation numbers () based on modification requests received and modification requests that a backup component () acknowledges completing. The backup () can maintain current and expected generation numbers () based on modification requests received and applied to a backup volume (). If either component () fails and later returns to service, differences between the owner's current and expected generation numbers () and the backup's current and expected generation numbers () indicate which modification requests may have been missed and need to be reconstructed to restore synchronization.

Reestablishing redundancy in redundant storage

Aspects of the subject disclosure may include, for example, a processing system that performs operations including collecting encrypted network traffic flow data from user interaction with an application, deriving a first set of traffic feature vectors from the encrypted network traffic flow data collected, training a machine learning algorithm on the first set of traffic feature vectors to classify each traffic feature vector in the first set of traffic feature vectors as associated with a type of the application or not associated with the type of the application, and classifying whether an encrypted network traffic flow as the type of the application by applying the machine learning algorithm to a traffic feature vector of the encrypted network traffic flow. Other embodiments are disclosed.

Method to identify video applications from encrypted over-the-top (OTT) data

Aspects of the subject disclosure may include, for example, receiving a first plurality of operating parameters associated with a first plurality of communication devices, obtaining a first prediction of a performance of a first communication device included in the first plurality of communication devices that is based on an application of the first plurality of operating parameters to a model, and responsive to a determination that the first prediction of the performance is inadequate in accordance with a first threshold, transmitting a first command to at least one communication device included in the first plurality of communication devices to modify at least one operating parameter of the at least one communication device. Other embodiments are disclosed.

Method and apparatus for utilizing radio access network guidance to select operating parameters

Aspects of the subject disclosure may include, for example, selecting a set of traffic counters, wherein the traffic counters provide a profile of viewing habits of a user, and wherein the traffic counters are extracted from video streaming by the user; predicting a size of a video buffer based on the traffic counters selected; and building the video buffer based on the predicted size. Other embodiments are disclosed.

Method for intelligent buffering for over the top (OTT) video delivery

The described technology is generally directed towards reducing latency in a wireless communications network. Radio access network latency data corresponding to a measured latency impact criterion is obtained by a network device of a wireless network. Based on the radio access network latency data, latency guidance data usable by the radio network device to achieve a reduction in communication latency that is experienced by a user equipment is predicted, e.g., by a learned model. The latency guidance data can be used to facilitate a reduction in the communication latency that is experienced by a user equipment.

Latency prediction and guidance in wireless communication systems

Aspects of the subject disclosure may include, for example, a method, including identifying recommended video clips for a user of a communication device according to a video viewing profile for the user and video subject matter information associated with a plurality of video clips, identifying an edge cloud server for facilitating network access by the communication device at a location, determining a reduced activity period for a data path between a video content server and the edge cloud server by comparing activity information for the data path and an activity threshold, directing the video content server to store the recommended video clips at the edge cloud server during the reduced activity period, and providing a listing of the recommended video clips to an application, where the communication device receives a video clip of the recommended video clips from the edge cloud server responsive to a selection of the video clip via the application. Other embodiments are disclosed.

Method and apparatus for delivery of media content

Aspects of the subject disclosure may include, for example, a method including monitoring a video session to determine key performance indicators for cross-layer interactions between a network providing video session video data and user equipment receiving the video session video data, wherein the key performance indicators include a transmission control protocol congestion window size that corresponds to a video chunk requested by the user equipment, and a radio access network throughput of a download of the video chunk requested by the user equipment, and determining a quality of service for the user equipment during the video session according to a residual length of content in a playback buffer for the user equipment based on the transmission control protocol congestion window size, and the radio access network throughput. Other embodiments are disclosed.

Methods to estimate video playback buffer

Aspects of the subject disclosure may include, for example, a device including a processing system including a processor and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, including monitoring network traffic to determine a transmission control protocol traffic pattern, determining a target video rate from the transmission control protocol traffic pattern, and modifying an over-the-top video delivery service network according to the target video rate. Other embodiments are disclosed.

Method and apparatus for managing over-the-top video rate

Various embodiments disclosed herein provide for identifying optimal data packet size to achieve a higher throughput a wireless communication network. According to some embodiments, a system can comprise monitoring a transmit control protocol performance associated with a first transmission of data packets over a first duration of time, wherein a packet size of the data packets is a first data packet size, detecting that the transmit control protocol performance satisfies a function with respect to a threshold and in response to the detecting that transmit control protocol performance satisfies the function with respect to the first threshold, determining a second data packet size to use for a second transmission of the data packets over a second duration of time, transmitting a request to change the packet size of the data packets to the second data packet.

Dynamic packet size adaptation to improve wireless network performance for 5G or other next generation wireless network

Growing community of inventors

Fremont, CA, United States of America

Jin Wang