公开(公告)号：US12205351B2

公开(公告)日：2025-01-21

申请号：US17804865

申请日：2022-06-01

Applicant: Verizon Patent and Licensing Inc.

Inventor： Said Soulhi ,  Bryan Christopher Larish

IPC: G06K9/00 ,  G06N20/20 ,  G06V10/74 ,  G06V10/75 ,  G06V10/774

Abstract: A system described herein may train an explanation model based on a set of images and a set of explanation labels. The system may receive input data, and may provide the input data to the explanation model and a second model. The second model may provide a set of output labels, which may include performing unknown or “black box” processing on the input data. The explanation model may generate one or more images based on the input data, compare the images to the set of images based on which the explanation model was trained, and accordingly identify one or more explanation labels with bounding boxes associated with the generated one or more images. The system may output, in response to the input data, the set of output labels provided by the second model as well as the identified explanation labels.

公开(公告)号：US20240031838A1

公开(公告)日：2024-01-25

申请号：US18376937

申请日：2023-10-05

Applicant: Verizon Patent and Licensing Inc.

Inventor： Said Soulhi ,  Bryan Christopher Larish

IPC: H04W24/06 ,  H04W24/02 ,  H04B17/391

CPC classification number: H04W24/06 ,  H04W24/02 ,  H04B17/3912

Abstract: One or more computing devices, systems, and/or methods for system parameter identification and network component configuration are provided. A state comprising a system parameter combination, a traffic model, and a channel assignment may be generated. A network traffic scenario is executed through a virtualized testbed using the state. A reward for the system parameter combination may be generated based upon key performance indicators output by the network traffic scenario. A reward policy and rewards generated for system parameter combinations are used to select a system parameter combination that is used to configure a network component of a communication network.

公开(公告)号：US20220408284A1

公开(公告)日：2022-12-22

申请号：US17349455

申请日：2021-06-16

Applicant: Verizon Patent and Licensing Inc.

Inventor： Said Soulhi ,  Bryan Christopher Larish

IPC: H04W24/06 ,  H04B17/391 ,  H04W24/02

Abstract: One or more computing devices, systems, and/or methods for system parameter identification and network component configuration are provided. A state comprising a system parameter combination, a traffic model, and a channel assignment may be generated. A network traffic scenario is executed through a virtualized testbed using the state. A reward for the system parameter combination may be generated based upon key performance indicators output by the network traffic scenario. A reward policy and rewards generated for system parameter combinations are used to select a system parameter combination that is used to configure a network component of a communication network.

公开(公告)号：US20210273857A1

公开(公告)日：2021-09-02

申请号：US17324539

申请日：2021-05-19

Applicant: Verizon Patent and Licensing Inc.

Inventor： Bryan Christopher Larish ,  Said Soulhi

IPC: H04L12/24 ,  G06N3/04 ,  G06N3/10 ,  G06N3/08 ,  H04L12/26

Abstract: A computer device may include a memory configured to store instructions and a processor configured to execute the instructions to train a generator neural network to simulate a network entity using a discriminator neural network that discriminates output associated with the network entity from output generated by the generator neural network. The computer device may be further configured to receive a set of input parameters associated with the simulated network entity; use the generator neural network to generate output for the simulated network entity based on the received set of input parameters; and apply the generated output for the simulated network entity to manage a communication network.

公开(公告)号：US20190166606A1

公开(公告)日：2019-05-30

申请号：US15827166

申请日：2017-11-30

Applicant: Verizon Patent and Licensing Inc.

Inventor： Bjorn Olof Erland Kalderen ,  Haim S. Ner ,  Said Soulhi

IPC: H04W72/12 ,  H04L12/24 ,  H04B7/08 ,  H04Q3/00 ,  H04L1/00

Abstract: A network device predicts end-to-end channel capacity entropy to permit use of optimal throughput settings in a network. The network device stores class definitions for a network condition; identifies multiple input features to correlate with the class definitions; generates a multiclass classification model that produces an importance score for each of the multiple input features, wherein the importance score reflects the contribution of an input feature to the network condition; selects two or more of the multiple input features with highest importance scores as influential features; predicts the behavior of the influential features to identify a current class, from the class definitions, for the network condition over an end-to-end communication channel; and sends an estimated network condition, based on the current class, to a device for traffic optimization.

公开(公告)号：US20190149425A1

公开(公告)日：2019-05-16

申请号：US15815088

申请日：2017-11-16

Applicant: Verizon Patent and Licensing Inc.

Inventor： Bryan Christopher Larish ,  Said Soulhi

IPC: H04L12/24 ,  G06N3/04 ,  G06N3/08 ,  G06N3/10

Abstract: A computer device may include a memory configured to store instructions and a processor configured to execute the instructions to train a generator neural network to simulate a network entity using a discriminator neural network that discriminates output associated with the network entity from output generated by the generator neural network. The computer device may be further configured to receive a set of input parameters associated with the simulated network entity; use the generator neural network to generate output for the simulated network entity based on the received set of input parameters; and apply the generated output for the simulated network entity to manage a communication network.

公开(公告)号：US20180070246A1

公开(公告)日：2018-03-08

申请号：US15258446

申请日：2016-09-07

Applicant: Verizon Patent and Licensing Inc.

Inventor： Edward M. Jack ,  Said Soulhi

IPC: H04W24/02 ,  H04W24/08

CPC classification number: H04W24/08 ,  H04W88/085

Abstract: One or more remote radio probes (RRPs) may be installed in the fronthaul network of a cellular Radio Access Network. Each RRP may be designed as to be permanently, or semi-permanently, placed in the fronthaul network. The RRP may be designed to capture baseband radio data transmitted through the fronthaul network. The RRP may buffer and forward the captured baseband radio data to an analysis platform. The analysis platform may be a software implemented platform to perform signal and/or spectral analysis of the received baseband radio data.