Proposal of Receive Antenna Selection Methods for MIMO-OFDM System

Quoc Tuan TRAN  Shinsuke HARA  Kriangsak SIVASONDHIVAT  Jun-ichi TAKADA  Atsushi HONDA  Yuuta NAKAYA  Kaoru YOKOO  Ichirou IDA  Yasuyuki OISHI  

Publication
IEICE TRANSACTIONS on Communications   Vol.E91-B   No.2   pp.505-517
Publication Date: 2008/02/01
Online ISSN: 1745-1345
DOI: 10.1093/ietcom/e91-b.2.505
Print ISSN: 0916-8516
Type of Manuscript: PAPER
Category: Wireless Communication Technologies
Keyword: 
MIMO-OFDM,  MMSE,  RF switch,  polarization,  antenna selection,  IEEE 802.11n,  

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Summary: 
The combination of Multiple-Input Multiple-Output (MIMO) and Orthogonal Frequency Division Multiplexing (OFDM) technologies gives wireless communications systems the advantages of lower bit error rate (BER) and higher data rate in frequency-selective fading environments. However, the main drawbacks of MIMO systems are their high complexity and high cost. Therefore, antenna selection in MIMO systems has been shown to be an effective way to overcome the drawbacks. In this paper, we propose two receive antenna selection methods for a MIMO-OFDM system with radio frequency (RF) switches and polarization antenna elements at the receiver side, taking into consideration low computational complexity. The first method selects a set of polarization antenna elements which gives lower correlation between received signals and larger received signal power, thus achieves a lower BER with low computational complexity. The second method first selects a set of polarization antenna elements based on the criterion of the first method and another set of polarization antenna elements based on the criterion of minimizing the correlation between the received signals; it then calculates the signal-to-interference-plus-noise power ratio (SINR) of the two sets and selects a set with larger SINR. As a result, the second method achieves a better BER than the first one but it also requires higher computational complexity than the first one. We use the measured channel data to evaluate the performance of the two methods and show that they work effectively for the realistic channel.