公开(公告)号：US11641579B1

公开(公告)日：2023-05-02

申请号：US17192539

申请日：2021-03-04

Applicant: CABLE TELEVISION LABORATORIES, INC.

Inventor： Sayandev Mukherjee ,  Bernardo Huberman ,  Thomas Sandholm

IPC: H04W8/24 ,  H04W72/08 ,  G06Q30/08 ,  H04W48/16 ,  H04W48/18

Abstract: Agents, operating on user equipment, and related systems and methods for machine-learning aided autonomous control of mobile network access are disclosed. The agents, systems and methods allow for mobile network resources, which are pre-purchased or purchased in real-time, to be optimized according to a reward function that maximizes quality of experience as a function of price. Mobile network resources purchased in real-time may include spectrum bandwidth sold or auctioned in increments and purchased by UEs as needed.

公开(公告)号：US11419065B1

公开(公告)日：2022-08-16

申请号：US17207849

申请日：2021-03-22

Applicant: CABLE TELEVISION LABORATORIES, INC.

Inventor： Thomas Sandholm ,  Bernardo Huberman ,  Lin Cheng

IPC: H04W52/34 ,  H04W52/06

Abstract: A method for dynamic allocation of communication resources includes (1) determining a risk-return characterization of a plurality of communication resource allocations across a plurality of communication channels in a communication system, (2) selecting a first allocation of the plurality of communication resource allocations from the risk-return characterization according to at least one predetermined criterion, and (3) automatically allocating communication resources among the plurality of communication channels according to the first allocation.

公开(公告)号：US20200008160A1

公开(公告)日：2020-01-02

申请号：US16460164

申请日：2019-07-02

Applicant: CABLE TELEVISION LABORATORIES, INC.

Inventor： Thomas Sandholm ,  Bernardo Huberman ,  Lin Cheng

IPC: H04W52/34

Abstract: A method for dynamic allocation of communication resources includes (1) determining a risk-return characterization of a plurality of communication resource allocations across a plurality of communication channels in a communication system, (2) selecting a first allocation of the plurality of communication resource allocations from the risk-return characterization according to at least one predetermined criterium, and (3) automatically allocating communication resources among the plurality of communication channels according to the first allocation.

公开(公告)号：US11343854B2

公开(公告)日：2022-05-24

申请号：US16945466

申请日：2020-07-31

Applicant: CABLE TELEVISION LABORATORIES, INC.

Inventor： Thomas Sandholm ,  Belal Hamzeh ,  Bernardo Huberman

IPC: H04W74/08 ,  H04W28/02 ,  H04L47/62 ,  H04W24/08 ,  H04W84/12

Abstract: A novel method that dynamically changes the contention window of access points based on system load to improve performance in a dense Wi-Fi deployment is disclosed. A key feature is that no MAC protocol changes, nor client side modifications are needed to deploy the solution. Setting an optimal contention window can lead to throughput and latency improvements up to 155%, and 50%, respectively. Furthermore, an online learning method that efficiently finds the optimal contention window with minimal training data, and yields an average improvement in throughput of 53-55% during congested periods for a real traffic-volume workload replay in a Wi-Fi test-bed is demonstrated.

公开(公告)号：US11722432B1

公开(公告)日：2023-08-08

申请号：US17559695

申请日：2021-12-22

Applicant: Cable Television Laboratories, Inc.

Inventor： Bernardo Huberman ,  Lin Cheng ,  Luis Alberto Campos ,  Thomas Sandholm

IPC: H04L47/80 ,  H04W28/02 ,  H04L41/5025 ,  H04L41/5009

CPC classification number: H04L47/808 ,  H04L41/5009 ,  H04L41/5025 ,  H04W28/0268

Abstract: The present disclosure generally relates to apparatus, software and methods for managing multi-channel network traffic to alleviate congestion, improve service quality and make efficient use of channel capacity. The disclosed apparatus, software and methods alleviate congestion and improve service quality by minimizing variance within a channel and/or increase overall traffic flow by minimizing the variance between channels. One or both of these objectives can be accomplished using modern portfolio theory to optimize at least one network usage parameter based on the mean and variance of the parameter(s).

公开(公告)号：US11706632B1

公开(公告)日：2023-07-18

申请号：US17382162

申请日：2021-07-21

Applicant: Cable Television Laboratories, Inc.

Inventor： Thomas Sandholm ,  Bernardo Huberman ,  Sayandev Mukherjee ,  Luis Alberto Campos

IPC: H04W16/14 ,  H04W16/10 ,  H04L41/16 ,  H04W28/24 ,  H04W24/02 ,  H04W28/20

CPC classification number: H04W16/14 ,  H04L41/16 ,  H04W16/10 ,  H04W24/02 ,  H04W28/20 ,  H04W28/24

Abstract: An artificial intelligence network operator (aiNO) that autonomously and dynamically acquires network resources on an open marketplace includes software running a machine learning model and a processor that controls backhaul connectivity and a network communication component. In some embodiments, the aiNO facilitates resale of the acquired network resource to end users.

公开(公告)号：US11240175B2

公开(公告)日：2022-02-01

申请号：US16403152

申请日：2019-05-03

Applicant: CABLE TELEVISION LABORATORIES, INC.

Inventor： Bernardo Huberman ,  Lin Cheng ,  Luis Alberto Campos ,  Thomas Sandholm

IPC: H04L12/927 ,  H04W28/02 ,  H04L12/24

Abstract: The present disclosure generally relates to apparatus, software and methods for managing multi-channel network traffic to alleviate congestion, improve service quality and make efficient use of channel capacity. The disclosed apparatus, software and methods alleviate congestion and improve service quality by minimizing variance within a channel and/or increase overall traffic flow by minimizing the variance between channels. One or both of these objectives can be accomplished using modern portfolio theory to optimize at least one network usage parameter based on the mean and variance of the parameter(s).

公开(公告)号：US10959190B2

公开(公告)日：2021-03-23

申请号：US16460164

申请日：2019-07-02

Applicant: CABLE TELEVISION LABORATORIES, INC.

Inventor： Thomas Sandholm ,  Bernardo Huberman ,  Lin Cheng

IPC: H04W52/34 ,  H04W52/06

Abstract: A method for dynamic allocation of communication resources includes (1) determining a risk-return characterization of a plurality of communication resource allocations across a plurality of communication channels in a communication system, (2) selecting a first allocation of the plurality of communication resource allocations from the risk-return characterization according to at least one predetermined criterium, and (3) automatically allocating communication resources among the plurality of communication channels according to the first allocation.