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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jiancun Fan Qinye Yin Wenjie Wang |
| Copyright Year | 2011 |
| Abstract | In multiple-input multiple-output (MIMO) systems, transmit antenna selection is a very promising technique for reducing implementation cost and computational complexity. In this paper, we propose two novel fast near-optimal antenna selection algorithms based on channel capacity maximization, whose core idea is to use an effective iterative process to reduce computational complexity and retain near-optimal performance. Compared with the conventional algorithm, the proposed algorithms have lower computational complexity and achieve almost the same capacity and bit-error rate (BER) performance as the optimal one. In particular, the BER performance gain of the proposed algorithms is much larger than the conventional algorithms in correlated fading channels. Finally, computer simulations are presented to validate and demonstrate performance of our algorithms. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 170752 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424492664 |
| ISSN | 1930529X |
| e-ISBN | 9781424492688 |
| e-ISBN | 9781424492671 |
| DOI | 10.1109/GLOCOM.2011.6134386 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-12-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Transmitting antennas Computational complexity Fading Receiving antennas |
| Content Type | Text |
| Resource Type | Article |
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