Applying multi-agent deep reinforcement learning for contention window optimization to enhance wireless network performance

This paper investigates the Contention Window (CW) optimization problem in multi-agent scenarios, where the fully cooperative among mobile stations is considered. A partially observable environment is employed to model and analyze the CW optimization problem, and Smart Exponential-Threshold-Linear w...

Full description

Bibliographic Details
Main Authors: Chih-Heng Ke, Lia Astuti
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:ICT Express
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405959522001060