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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shih Yu Chang Hsiao-Chun Wu |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan (Shih Yu Chang) || Sch. of Electr. Eng. & Comput. Sci., Louisiana State Univ., Baton Rouge, LA, USA (Hsiao-Chun Wu) |
| Abstract | 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. |
| Starting Page | 4839 |
| Ending Page | 4843 |
| File Size | 956916 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467331227 |
| ISSN | 15503607 |
| DOI | 10.1109/ICC.2013.6655341 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-06-09 |
| Publisher Place | Hungary |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Approximation methods MIMO Matrices Transmitting antennas Approximation algorithms Receiving antennas parallel algorithm antenna subset selection matrix inverse approximation |
| Content Type | Text |
| Resource Type | Article |
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