QRD-based antenna selection for maximum-likelihood MIMO detection

Chun Tao Lin*, Wen-Rong Wu

*Corresponding author for this work

研究成果: Conference contribution同行評審

5 引文 斯高帕斯(Scopus)

摘要

Antenna selection is a simple but effective method to exploit the transmit diversity in multiple-input multiple-output (MIMO) wireless communications. For maximum-likelihood (ML) detectors, the criterion for the selection is to maximize the free distance of the MIMO system. Since the optimum selection is difficult to conduct, a lower bound of the free distance is typically used as the selection criterion instead. The singular-value-decomposition (SVD) based selection criterion is well known in the literature. In this paper, we propose a QR decomposition (QRD) based selection criterion for antenna selection with the ML detector. Using some matrix properties, we theoretically prove that the lower bound achieved with the QRD-based criterion is tighter than that with the SVD-based criterion. We also propose another QRD-based criterion that can further tighten the lower bound. The proposed algorithms can be directly applied to the receive, and joint transmit/receive antenna selection schemes. Simulations show that the performance of the proposed selection criteria can significantly outperform the SVD-based selection criterion.

原文English
主出版物標題2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009
DOIs
出版狀態Published - 1 十二月 2009
事件2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009 - Tokyo, Japan
持續時間: 13 九月 200916 九月 2009

出版系列

名字IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC

Conference

Conference2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009
國家Japan
城市Tokyo
期間13/09/0916/09/09

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