-
21.
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
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:US10904250B2
公开(公告)日:2021-01-26
申请号:US16183566
申请日:2018-11-07
Applicant: Verizon Patent and Licensing Inc.
Inventor: Bryan Christopher Larish
Abstract: Provided is a controller for configuring network devices at different network locations with rules that prevent different sets of clients from accessing specific network resources. The controller may receive a request with an identifier of a first resource from a particular network point of access. The controller may identify one or more network devices (e.g., wireless access point, router, switch, firewall, gateway, etc.) that are in the network path between the particular network point of access and the first resource. The controller may select a particular network device in the network path, may establish a connection to the particular network device, and may configure the particular network device with a rule that prevents access to the first resource from the particular network point of access, while permitting access to other resources from the particular network point of access.
-
25.
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
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.
-
-
-
-