A unified message-passing algorithm for MIMO-SDMA in software-defined radio

详细信息    查看全文

• 作者：Alexander Kocian ; Mihai-Alin Badiu…
• 关键词：MIMO communications ; Space division multiple access ; Belief propagation ; Mean field approximation ; Factor graphs ; Software ; defined radios
• 刊名：EURASIP Journal on Wireless Communications and Networking
• 出版年：2017
• 出版时间：December 2017
• 年：2017
• 卷：2017
• 期：1
• 全文大小：1280KB
• 刊物主题：Signal,Image and Speech Processing; Communications Engineering, Networks; Information Systems Applications (incl.Internet);
• 出版者：Springer International Publishing
• ISSN：1687-1499
• 卷排序：2017

文摘

This paper presents a novel software radio implementation for joint channel estimation, data decoding, and noise variance estimation in multiple-input multiple-output (MIMO) space division multiple access (SDMA). In contrast to many other iterative solutions, the proposed receiver is derived within the theoretical framework of a unified message-passing algorithm, combining belief propagation (BP) and the mean field approximation (MF) on the corresponding factor graph. The algorithm minimizes the region-based variational free energy in the system under appropriate conditions and, hence, converges to a fixpoint. As a use-case, we consider the high-rate packet-oriented IEEE 802.11n standard. Our receiver is implemented on a software-defined radio platform dubbed MIMONet, composed of a GNU radio software component and a universal software radio peripheral (USRP). The receiver was evaluated in real indoor environments. The results of our study clearly show that, once synchronization issues are properly addressed, the BP-MF receiver provides a substantial performance improvement compared to a conventional receiver also in real-world settings. Such improvement comes at the expense of an increase in running time that can be as high as 87. Therefore, the trade-off between communication performance and receiver complexity should be carefully evaluated in practical settings.