Near Optimal Transmit Antenna Subset Selection Algorithms for Coded MIMO Systems

Zheng Wu; Zhang Hai-bin; Song Wen-tao; Liu Xing-zhao

doi:10.3724/SP.J.1146.2006.00128

Volume 29 Issue 9

Jan. 2011

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Article Navigation > Journal of Electronics & Information Technology > 2007 > 29(9): 2173-2176

Zheng Wu, Zhang Hai-bin, Song Wen-tao, Liu Xing-zhao. Near Optimal Transmit Antenna Subset Selection Algorithms for Coded MIMO Systems[J]. Journal of Electronics & Information Technology, 2007, 29(9): 2173-2176. doi: 10.3724/SP.J.1146.2006.00128

Citation:

Zheng Wu, Zhang Hai-bin, Song Wen-tao, Liu Xing-zhao. Near Optimal Transmit Antenna Subset Selection Algorithms for Coded MIMO Systems[J]. Journal of Electronics & Information Technology, 2007, 29(9): 2173-2176. doi: 10.3724/SP.J.1146.2006.00128

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Near Optimal Transmit Antenna Subset Selection Algorithms for Coded MIMO Systems

doi: 10.3724/SP.J.1146.2006.00128

Received Date: 2006-01-27
Rev Recd Date: 2006-07-12
Publish Date: 2007-09-19

Abstract

Abstract

Multiple antenna wireless systems can provide larger channel capacity and better ability to combat fading. The capacity can be further increased by feeding back some channel state information to the transmitter and implementing antenna subset selection. A fast and dynamic transmit antenna subset selection algorithm is proposed in this paper. Instead of the optimal selection algorithm, which needs to compute the capacity of all the antenna subset combinations, the new algorithm has almost the same capacity with lower complexity. It also has larger capacity than the existent static algorithms. Based on bit interleaved code modulation (BICM) technology, space time adaptive bit interleaved code modulation (ST-ABICM) scheme is constructed by adapting data rate per transmit antenna. Simulation results also prove the excellent performance of the scheme.

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References

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