The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 04, 2025

Filed:

Apr. 16, 2024
Applicant:

Nanjing University of Posts and Telecommunications, Nanjing, CN;

Inventors:

Shasha Zhao, Nanjing, CN;

Lidan Qin, Nanjing, CN;

Dengyin Zhang, Nanjing, CN;

Chenhui Sun, Nanjing, CN;

Qing Wen, Nanjing, CN;

Ruijie Chen, Nanjing, CN;

Yufan Liu, Nanjing, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/092 (2023.01); H04L 5/00 (2006.01);
U.S. Cl.
CPC ...
G06N 3/092 (2023.01); H04L 5/0005 (2013.01); H04L 5/0037 (2013.01);
Abstract

The present application discloses a method and a device for user grouping and resource allocation in a NOMA-MEC system. The hybrid deep reinforcement learning algorithm proposed in the present application solves the hybrid problem of deep reinforcement learning that is difficult to deal with both discrete and continuous action spaces by using DDPG to optimize continuous actions and DQN to optimize discrete actions. Specifically, the algorithm determines a bandwidth allocation, an offloading decision, and a sub-channel allocation (user grouping) of the user device based on the user's channel state, in order to maximize the ratio of the computation rate to the consumed power of the system. The algorithm is well adapted to the dynamic characteristics of the environment and effectively improves the energy efficiency and spectrum resource utilization of the system.


Find Patent Forward Citations

Loading…