Efficient transmitting antenna selection for MIMO systems via parallel approach

In this paper, we propose a new low-complexity optimal transmitting antenna selection algorithm for multiple-input multiple-output (MIMO) systems. Different from the conventional optimal antenna selection methods, our proposed algorithm can approximate the inverse matrix subject to an error toleranc...

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Bibliographic Details
Published in2013 IEEE International Conference on Communications (ICC) pp. 4839 - 4843
Main Authors Shih Yu Chang, Hsiao-Chun Wu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2013
Subjects
antenna subset selection
Approximation algorithms
Approximation methods
Matrices
matrix inverse approximation
MIMO
parallel algorithm
Receiving antennas
Transmitting antennas
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ISSN1550-3607
DOI10.1109/ICC.2013.6655341

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Summary:In this paper, we propose a new low-complexity optimal transmitting antenna selection algorithm for multiple-input multiple-output (MIMO) systems. Different from the conventional optimal antenna selection methods, our proposed algorithm can approximate the inverse matrix subject to an error tolerance. However, the antenna selection optimality can often be obtained as the same outcome from the exact matrix inverse. Furthermore, our proposed matrix inverse approximation algorithm can be greatly expedited by using parallel computing. With significantly reduced complexity using many microprocessors, our proposed method is very appealing to the future MIMO technologies.
ISSN:1550-3607
DOI:10.1109/ICC.2013.6655341