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.

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

IPC: G08G1/01 ,  G06K9/62

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.

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.

公开(公告)号：US10826964B2

公开(公告)日：2020-11-03

申请号：US16122584

申请日：2018-09-05

Applicant: AT&T Intellectual Property I, L.P. ,  THE TRUSTEES OF INDIANA UNIVERSITY

Inventor： Bo Han ,  Vijay Gopalakrishnan ,  Zhengye Liu ,  Feng Qian

IPC: H04L29/06 ,  H04N21/845 ,  H04N19/37 ,  H04N21/81

Abstract: Aspects of the subject disclosure may include, for example, a device that includes a processing system with a processor, a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations including receiving a request that identifies a first list of tiles for streaming a panoramic video, determining a first total number of data packets required to transmit tiles in the first list of tiles, maintaining a second total number of empty data packets enqueued into a transport control protocol (TCP) buffer, maintaining a third total number of empty data packets dequeued from the TCP buffer, and enqueuing empty data packets into the TCP buffer whenever the first total number of data packets is greater than a difference between the second total number of empty data packets and the third total number of empty data packets. Other embodiments are disclosed.

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

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

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.

公开(公告)号：US10694221B2

公开(公告)日：2020-06-23

申请号：US15912656

申请日：2018-03-06

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

Inventor： Yali Liu ,  Zhengye Liu ,  Jin Wang

IPC: H04N21/234 ,  H04N21/442 ,  G06N20/00 ,  H04N21/658 ,  G06F17/14

Abstract: 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.

公开(公告)号：US20200186875A1

公开(公告)日：2020-06-11

申请号：US16213585

申请日：2018-12-07

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

Inventor： Bo Han ,  Sassan Pejhan ,  Zhengye Liu

IPC: H04N21/44 ,  H04N21/442 ,  H04N21/4223 ,  H04N21/81 ,  H04N21/414

Abstract: Aspects of the subject disclosure may include, for example, embodiments include obtaining video content, the video content comprises a plurality of frames, monitoring, by an image sensor, a facial feature of a user to determine a visual focus of the user in relation to the video content, and detecting from a group of frames of the plurality of frames at least a reduction in movements of objects in the group of frames. Further embodiments include determining, according to the monitoring and the detecting, a measure of attention of the user within a region of the group of frames, determining that the measure of attention of the user within the region of the group of frames satisfies a threshold, and embedding in at least a portion of subsequent frames of the plurality of frames a visual advertisement in the region via a communication device. Other embodiments are disclosed.

公开(公告)号：US20250132997A1

公开(公告)日：2025-04-24

申请号：US19007364

申请日：2024-12-31

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

Inventor： Zhengye Liu ,  Yali Liu ,  Vanessa Tan

IPC: H04L43/067 ,  H04L43/0817 ,  H04L43/50

Abstract: Estimation of network latency based on aggregated performance data is disclosed. End-to-end latency between endpoints can comprise protocol-induced latency, access network-induced, core-network latency, and network-distance-based latency. Network latency, e.g., network-distance-based latency, also referred to as topological latency, can correspond to communication path length between endpoints. Crowdsourcing of communication path performance information can enable estimation of topological latency, and derivatives thereof, such as topological distance. Crowdsourcing can be the practice of obtaining information or input into a task or project by enlisting the services of a large number of people, either paid or unpaid, e.g., collection of performance information. The disclosure illustrates estimation of protocol-induced latency, access network-induced, and core-network latency, such that they can be compensated for in end-to-end latency information, thereby enabling estimation of topological latency that can be employed in determining, initiating, etc., a network response operation that can affect change in a network.

公开(公告)号：US20230412479A1

公开(公告)日：2023-12-21

申请号：US17807668

申请日：2022-06-17

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

Inventor： Zhengye Liu ,  Yali Liu ,  Jin Wang ,  Raghvendra Savoor

IPC: H04L43/08

CPC classification number: H04L43/08

Abstract: In one example, the present disclosure describes a device, computer-readable medium, and method for locally managing quality of experience in a home network. For instance, in one example, a method performed by a residential gateway connected to a home network includes capturing network data relating to a plurality of software applications executing on a plurality of user endpoint devices connected to the home network, converting the network data into at least one network condition metric, receiving a query from a first software application of the plurality of software applications for at least one current condition of the home network, and delivering the at least one network condition metric to the first software application.

公开(公告)号：US11533299B2

公开(公告)日：2022-12-20

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 ,  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.