Machine Learning-based MIMO Signal Detection in Wireless Networks with Random Traffic

Po Yen Lai, Rung Hung Gau

研究成果: Conference contribution同行評審

摘要

In this paper, we propose a novel machine learning-based signal detection scheme for multi-user wireless multiple-input multiple-output (MIMO) networks with random traffic. We focus on the challenging case in which the number of active users that transmit data to the base station in a time slot is a random variable from the viewpoint of the base station. Instead of using multiple machine learning models and exhaustive search, we propose using a novel deep machine learning model that adopts an extended constellation diagram and a loss function based on the nonuniform probability mass function for transmitted symbols. Simulation results reveal that the proposed machine learning-based signal detection scheme outperforms the zero-forcing detector and the minimum mean square error detector in wireless MIMO networks when the number of active users is random.

原文English
主出版物標題2022 IEEE Wireless Communications and Networking Conference, WCNC 2022
發行者Institute of Electrical and Electronics Engineers Inc.
頁面2298-2303
頁數6
ISBN(電子)9781665442664
DOIs
出版狀態Published - 2022
事件2022 IEEE Wireless Communications and Networking Conference, WCNC 2022 - Austin, United States
持續時間: 10 4月 202213 4月 2022

出版系列

名字IEEE Wireless Communications and Networking Conference, WCNC
2022-April
ISSN(列印)1525-3511

Conference

Conference2022 IEEE Wireless Communications and Networking Conference, WCNC 2022
國家/地區United States
城市Austin
期間10/04/2213/04/22

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