Distributed Multi-Agent Deep Q-Learning for Fast Roaming in IEEE 802.11ax Wi-Fi Systems

Ting Hui Wang, Li Hsiang Shen, Kai Ten Feng

研究成果: Conference contribution同行評審

摘要

The innovation of Wi-Fi 6, IEEE 802.11ax, was be approved as the next sixth-generation (6G) technology of wireless local area networks (WLANs) by improving the fun-damental performance of latency, throughput, and so on. The main technical feature of orthogonal frequency division multiple access (OFDMA) supports multi-users to transmit respective data concurrently via the corresponding access points (APs). However, the conventional IEEE 802.11 protocol for Wi-Fi roaming selects the target AP only depending on received signal strength indication (RSSI) which is obtained by the received Response frame from the APs. In the long term, it may lead to congestion in a single channel under the scenarios of dense users further increasing the association delay and packet drop rate, even reducing the quality of service (QoS) of the overall system. In this paper, we propose a multi-agent deep Q-Iearning for fast roaming (MADAR) algorithm to effectively minimize the latency during the station roaming for Smart Warehouse in Wi-Fi 6 system. The MADAR algorithm considers not only RSSI but also channel state information (CSI), and through online neural network learning and weighting adjustments to maximize the reward of the action selected from Epsilon-Greedy. Compared to existing benchmark methods, the MADAR algorithm has been demonstrated for improved roaming latency by analyzing the simulation result and realistic dataset.

原文English
主出版物標題2024 IEEE 21st Consumer Communications and Networking Conference, CCNC 2024
發行者Institute of Electrical and Electronics Engineers Inc.
頁面433-438
頁數6
ISBN(電子)9798350304572
DOIs
出版狀態Published - 2024
事件21st IEEE Consumer Communications and Networking Conference, CCNC 2024 - Las Vegas, United States
持續時間: 6 1月 20249 1月 2024

出版系列

名字Proceedings - IEEE Consumer Communications and Networking Conference, CCNC
ISSN(列印)2331-9860

Conference

Conference21st IEEE Consumer Communications and Networking Conference, CCNC 2024
國家/地區United States
城市Las Vegas
期間6/01/249/01/24

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