公开(公告)号：US20240015077A1

公开(公告)日：2024-01-11

申请号：US18253130

申请日：2021-09-07

Applicant: ZTE CORPORATION

Inventor： Dajiang WANG ,  Youdao YE ,  Xikun YANG ,  Weiqing LI ,  Zhenyu WANG

IPC: H04L41/147 ,  H04L41/14

CPC classification number: H04L41/147 ,  H04L41/145

Abstract: An information processing method, a method for generating and training a module, an electronic device, and a medium are disclosed. The method for information processing may include acquiring a transmission parameter of service information in a network, where the transmission parameter is indicative of transmission performance of the service information in the network; and predicting transmission performance of the transmission parameter by means of a pre-trained network model, where the network model comprises a Graph Convolutional Network (GCN) model that is acquired according to transmission path information of the service information in the network.

公开(公告)号：US20240007775A1

公开(公告)日：2024-01-04

申请号：US18037742

申请日：2021-11-09

Applicant: ZTE CORPORATION

Inventor： Dajiang WANG ,  Youdao YE ,  Xiaojian LI ,  Hu SHI ,  Zhenyu WANG

IPC: H04Q11/00 ,  H04J3/16 ,  H04B10/079

CPC classification number: H04Q11/0062 ,  H04J3/1652 ,  H04B10/07953 ,  H04Q2011/0086 ,  H04Q2011/0084 ,  H04Q2011/0073

Abstract: The present disclosure provides a service resource configuration method, including: configuring resource parameters for a service to be configured according to an action policy, calculating a timely reward in a current state, performing IV analysis according to the action policy, and ending one episode after the IV analysis is completed; calculating and updating, according to the timely reward in each state, an optimization objective policy parameter in each state; iterating a preset number of episodes to calculate and update the optimization objective policy parameter in each state; determining, according to the optimization objective policy parameter in each state in the preset number of episodes, an optimal optimization objective policy parameter in each state; and updating the action policy according to the optimal optimization objective policy parameter in each state. The present disclosure further provides a single service resource configuration apparatus, a computer device and a computer-readable medium.

公开(公告)号：US20230361902A1

公开(公告)日：2023-11-09

申请号：US18023347

申请日：2021-08-06

Applicant: ZTE CORPORATION

Inventor： Dajiang WANG ,  Youdao YE ,  Zhenyu WANG

IPC: H04Q11/00 ,  H04J3/16

CPC classification number: H04J3/1652 ,  H04Q11/0062 ,  H04Q2011/0086

Abstract: The present disclosure provides a method for optimizing OTN resources, including: determining and creating, according to an action policy, a service to be created in a current service creation state, calculating a timely reward in the current service creation state, entering a next service creation state until an episode is ended, and calculating and updating, according to the timely reward in each service creation state, an optimized objective policy parameter in each service creation state; iterating a preset number of episodes to calculate and update the optimized objective policy parameter in each service creation state; determining, according to the optimized objective policy parameter in each service creation state in the preset number of episodes, a resultant optimized objective policy parameter in each service creation state; and updating the action policy according to the resultant optimized objective policy parameter in each service creation state.

公开(公告)号：US20230319446A1

公开(公告)日：2023-10-05

申请号：US18023348

申请日：2021-08-09

Applicant: ZTE CORPORATION

Inventor： Dajiang WANG ,  Youdao YE ,  Zhenyu WANG

IPC: H04Q11/00

CPC classification number: H04Q11/0067

Abstract: The present disclosure provides a method for optimizing OTN network resources, including: determining and creating a service to be created in a current service creating state according to an action policy, calculating a timely reward, entering a next service creating state, until an Episode is finished, calculating a comprehensive optimization parameter according to the timely reward, and calculating and updating a quantization index weight vector according to the comprehensive optimization parameter, where the action policy is a probability function related to the quantization index weight vector, and the quantization index weight vector corresponds to a plurality of quantization indexes; iterating a preset number of Episodes to obtain an optimized quantization index weight vector; and updating the action policy according to the optimized quantization index weight vector. The present disclosure further provides an apparatus for optimizing OTN network resources, a computer device, and a computer-readable storage medium.