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公开(公告)号：US20230127439A1
公开(公告)日：2023-04-27
申请号：US18068505
申请日：2022-12-19
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Zhengye Liu , Donglin Hu , Jin Wang
IPC: H04L9/40 , G06N3/08 , H04L47/2483 , H04L47/2441
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.
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2.发明授权公开(公告)号：US11627092B2
公开(公告)日：2023-04-11
申请号：US17106776
申请日：2020-11-30
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Rajarajan Sivaraj , Kittipat Apicharttrisorn , Bharath Balasubramanian , Rittwik Jana , Subhabrata Sen , Dhruv Gupta , Jin Wang
Abstract: 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.
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公开(公告)号：US11533524B2
公开(公告)日：2022-12-20
申请号：US17392302
申请日：2021-08-03
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Rajarajan Sivaraj , Zhengye Liu , Jin Wang , Yali Liu
IPC: H04N21/238 , H04N21/24 , H04N21/44 , H04L47/193 , H04L65/80
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.
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公开(公告)号：US11429891B2
公开(公告)日：2022-08-30
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: G06N20/00 , H04N21/4408 , H04N21/44 , H04L9/40
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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公开(公告)号：US11343586B2
公开(公告)日：2022-05-24
申请号：US16932089
申请日：2020-07-17
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Zhengye Liu , Xidong Wu , Jin Wang , Xiaojun Tang , Mark Brady
IPC: H04N21/643 , H04N21/234 , H04N21/222 , H04N21/2187 , H04N21/2343 , H04N21/262 , H04N21/6587 , H04N21/845
Abstract: Aspects of the subject disclosure may include, for example, a machine-readable storage medium, including executable instructions that, when executed by a processing system including a processor, facilitate performance of operations that include assuming control of a video content transfer between a video server and a video client for HTTP traffic responsive to determining the HTTP traffic is for video content, generating a video transfer rate selection and a video transfer resolution selection for a requested video chunk of a time slot of the video content, generating an optimized manifest file for the requested video chunk, and publishing the optimized manifest file to the video client, wherein the video client request the requested video chunk from the video server based on the optimized manifest. Other embodiments are disclosed.
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Patent Agency Ranking
公开(公告)号：US20210266247A1
公开(公告)日：2021-08-26
申请号：US17314552
申请日：2021-05-07
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Rajarajan Sivaraj , Varun Gupta , Dhruv Gupta , Rittwik Jana , Jin Wang , Laurie Bigler , Weihua Ye , Zhengye Liu
Abstract: 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.
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7.发明授权公开(公告)号：US10999760B2
公开(公告)日：2021-05-04
申请号：US16408013
申请日：2019-05-09
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Zhengye Liu , Donglin Hu , Jin Wang
IPC: H04W28/02 , H04W40/02 , H04W28/08 , H04L12/803
Abstract: Concepts and technologies disclosed herein are directed to collective intelligence-based cell congestion detection in mobile telecommunications networks. According to some aspects of the concepts and technologies disclosed herein, a core network element or device application can detect cell congestion based upon Internet layer, transport layer, and application layer data, such as, for example, traffic type, volume, rate, latency, jitter, and the like. According to one aspect disclosed herein, a cell congestion detection (“CCD”) system can collect data from an Internet layer, a transport layer, and an application layer. The CCD system can apply a machine learning algorithm to the data to determine whether the cell is congested. According to another aspect the CCD system can collect the data that is associated with a specific application executed by a plurality of UE devices connected to a cell.
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8.发明申请公开(公告)号：US20210043074A1
公开(公告)日：2021-02-11
申请号：US16535180
申请日：2019-08-08
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Donglin Hu , Zhengye Liu , Yali Liu , Jin Wang
Abstract: Aspects of the subject disclosure may include, for example, applying a model to a first unlabeled traffic item to generate a classification of the first unlabeled traffic item as a first class of traffic items or a second class of traffic items, generating a first score that is representative of a first confidence of the classification, determining that the first score is greater than a first threshold, and responsive to determining that the first score is greater than the first threshold, refining the model in accordance with at least the classification, resulting in a modified model. Other embodiments are disclosed.
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公开(公告)号：US20210014551A1
公开(公告)日：2021-01-14
申请号：US17037250
申请日：2020-09-29
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Zhengye Liu , Jin Wang , Yali Liu , Yongdong Zhao
IPC: H04N21/2662 , H04L12/801 , H04N21/24 , H04N21/61 , H04N21/442 , H04N21/44 , H04N21/4363 , H04N21/643
Abstract: 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.
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公开(公告)号：US20200274641A1
公开(公告)日：2020-08-27
申请号：US16284936
申请日：2019-02-25
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Zhengye Liu , Xidong Wu , Jin Wang , Bo Han
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.
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