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    Optimizing delay-sensitive network-based communications with latency guidance
    62.
    发明授权
    Optimizing delay-sensitive network-based communications with latency guidance 有权

    公开(公告)号：US11101917B2

    公开(公告)日：2021-08-24

    申请号：US16877438

    申请日：2020-05-18

    Applicant: AT&T Intellectual Property I, L.P.

    Inventor： Zhengye Liu ,  Xidong Wu ,  Jin Wang ,  Bo Han

    IPC: H04L1/00 ,  H04L29/06 ,  H04L12/26 ,  G06F15/16

    Abstract: Devices, computer-readable media, and methods for selecting a type of transmission for an immersive visual stream based upon a latency estimate. For instance, a processing system including at least one processor may obtain a latency estimate for an immersive visual stream, determine whether the latency estimate exceeds a latency threshold for selecting a type of transmission for the immersive visual stream, and select the type of transmission for the immersive visual stream from among a field of view restricted type of transmission and a field of view plus out of scene type of transmission based upon the determining. When the latency estimate is determined to not exceed the latency threshold, the field of view restricted type of transmission is selected. When the latency estimate is determined to exceed the latency threshold, the field of view plus out of scene type of transmission is selected.

    CLASSIFICATION OF ENCRYPTED INTERNET TRAFFIC
    65.
    发明申请
    CLASSIFICATION OF ENCRYPTED INTERNET TRAFFIC 有权

    公开(公告)号：US20210044572A1

    公开(公告)日：2021-02-11

    申请号：US16533190

    申请日：2019-08-06

    Applicant: AT&T Intellectual Property I, L.P.

    Inventor： Zhengye Liu ,  Donglin Hu ,  Jin Wang

    IPC: H04L29/06 ,  H04L12/851 ,  G06N3/08

    Abstract: 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.

    OPTIMIZING DELAY-SENSITIVE NETWORK-BASED COMMUNICATIONS WITH LATENCY GUIDANCE
    66.
    发明申请
    OPTIMIZING DELAY-SENSITIVE NETWORK-BASED COMMUNICATIONS WITH LATENCY GUIDANCE 有权

    公开(公告)号：US20210028884A1

    公开(公告)日：2021-01-28

    申请号：US17068795

    申请日：2020-10-12

    Applicant: AT&T Intellectual Property I, L.P.

    Inventor： Zhengye Liu ,  Xidong Wu ,  Jin Wang ,  Bo Han

    IPC: H04L1/00 ,  H04L1/18 ,  H04L1/08 ,  H04L12/26

    Abstract: Devices, computer-readable media, and methods for selecting a type of packet loss protection for a network-based communication based upon a latency estimate are disclosed. For example, a processing system including at least one processor may obtain a latency estimate for a network-based communication, determine whether the latency estimate exceeds a latency threshold for selecting a type of packet loss protection, and select, the type of packet loss protection for the network-based communication from among a first type of packet loss protection and a second type of packet loss protection based upon the determining. When the latency estimate is determined to not exceed the latency threshold, the first type of packet loss protection is selected. When the latency estimate is determined to exceed the latency threshold, the second type of packet loss protection is selected.

    METHODS TO ESTIMATE VIDEO PLAYBACK BUFFER
    68.
    发明申请
    METHODS TO ESTIMATE VIDEO PLAYBACK BUFFER 审中-公开

    公开(公告)号：US20200213636A1

    公开(公告)日：2020-07-02

    申请号：US16814451

    申请日：2020-03-10

    Applicant: AT&T Intellectual Property I, L.P.

    Inventor： Rajarajan Sivaraj ,  Zhengye Liu ,  Jin Wang ,  Yali Liu

    IPC: H04N21/238 ,  H04N21/24 ,  H04N21/44 ,  H04L12/801

    Abstract: 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.

    Method to Identify Video Applications from Encrypted Over-the-top (OTT) Data
    69.
    发明申请
    Method to Identify Video Applications from Encrypted Over-the-top (OTT) Data 审中-公开

    公开(公告)号：US20190279113A1

    公开(公告)日：2019-09-12

    申请号：US15914057

    申请日：2018-03-07

    Applicant: AT&T Intellectual Property I, L.P.

    Inventor： Yali Liu ,  Jin Wang ,  Zhengye Liu ,  Bruce Schine

    IPC: G06N99/00 ,  H04L29/06 ,  H04N21/44 ,  H04N21/4408

    Abstract: 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.

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