Efficient Capacity-Based Joint Transmit and Receive Antenna Selection Schemes in MIMO Systems

Ying Rao WEI; Mu Zhong WANG

doi:10.1093/ietcom/e90-b.2.372

Efficient Capacity-Based Joint Transmit and Receive Antenna Selection Schemes in MIMO Systems

Ying Rao WEI, Mu Zhong WANG

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In this letter, we propose two different joint transmit and receive antenna subset selection schemes for multiple-input multiple-output (MIMO) systems on the basis of capacity maximization criterion. We assume that perfect channel state information (CSI) is known at the receiver but unknown to the transmitter. As the selection signaling is perfectly fed back to the transmitter, we propose a flexible two-step selection algorithm (TSSA) in practical MIMO channel scenarios. Computer simulations show that TSSA can maximize the capacity at low computation cost in most scenarios. It performs well in terms of capacity, computational complexity and flexibility. Furthermore, we propose a simplified algorithm based on the correlation matrix when the channel correlation information (CCI) is known to the transmitter. Simulation results show that the proposed correlation matrix based selection algorithm is only slightly inferior to an optimal selection algorithm.

Publication: IEICE TRANSACTIONS on Communications Vol.E90-B No.2 pp.372-376

Publication Date: 2007/02/01

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Online ISSN: 1745-1345

DOI: 10.1093/ietcom/e90-b.2.372

Type of Manuscript: LETTER

Category: Wireless Communication Technologies

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Ying Rao WEI, Mu Zhong WANG, "Efficient Capacity-Based Joint Transmit and Receive Antenna Selection Schemes in MIMO Systems" in IEICE TRANSACTIONS on Communications, vol. E90-B, no. 2, pp. 372-376, February 2007, doi: 10.1093/ietcom/e90-b.2.372.
Abstract: In this letter, we propose two different joint transmit and receive antenna subset selection schemes for multiple-input multiple-output (MIMO) systems on the basis of capacity maximization criterion. We assume that perfect channel state information (CSI) is known at the receiver but unknown to the transmitter. As the selection signaling is perfectly fed back to the transmitter, we propose a flexible two-step selection algorithm (TSSA) in practical MIMO channel scenarios. Computer simulations show that TSSA can maximize the capacity at low computation cost in most scenarios. It performs well in terms of capacity, computational complexity and flexibility. Furthermore, we propose a simplified algorithm based on the correlation matrix when the channel correlation information (CCI) is known to the transmitter. Simulation results show that the proposed correlation matrix based selection algorithm is only slightly inferior to an optimal selection algorithm.
URL: https://globals.ieice.org/en_transactions/communications/10.1093/ietcom/e90-b.2.372/_p

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@ARTICLE{e90-b_2_372,
author={Ying Rao WEI, Mu Zhong WANG, },
journal={IEICE TRANSACTIONS on Communications},
title={Efficient Capacity-Based Joint Transmit and Receive Antenna Selection Schemes in MIMO Systems},
year={2007},
volume={E90-B},
number={2},
pages={372-376},
abstract={In this letter, we propose two different joint transmit and receive antenna subset selection schemes for multiple-input multiple-output (MIMO) systems on the basis of capacity maximization criterion. We assume that perfect channel state information (CSI) is known at the receiver but unknown to the transmitter. As the selection signaling is perfectly fed back to the transmitter, we propose a flexible two-step selection algorithm (TSSA) in practical MIMO channel scenarios. Computer simulations show that TSSA can maximize the capacity at low computation cost in most scenarios. It performs well in terms of capacity, computational complexity and flexibility. Furthermore, we propose a simplified algorithm based on the correlation matrix when the channel correlation information (CCI) is known to the transmitter. Simulation results show that the proposed correlation matrix based selection algorithm is only slightly inferior to an optimal selection algorithm.},
keywords={},
doi={10.1093/ietcom/e90-b.2.372},
ISSN={1745-1345},
month={February},}

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TY - JOUR
TI - Efficient Capacity-Based Joint Transmit and Receive Antenna Selection Schemes in MIMO Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 372
EP - 376
AU - Ying Rao WEI
AU - Mu Zhong WANG
PY - 2007
DO - 10.1093/ietcom/e90-b.2.372
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E90-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2007
AB - In this letter, we propose two different joint transmit and receive antenna subset selection schemes for multiple-input multiple-output (MIMO) systems on the basis of capacity maximization criterion. We assume that perfect channel state information (CSI) is known at the receiver but unknown to the transmitter. As the selection signaling is perfectly fed back to the transmitter, we propose a flexible two-step selection algorithm (TSSA) in practical MIMO channel scenarios. Computer simulations show that TSSA can maximize the capacity at low computation cost in most scenarios. It performs well in terms of capacity, computational complexity and flexibility. Furthermore, we propose a simplified algorithm based on the correlation matrix when the channel correlation information (CCI) is known to the transmitter. Simulation results show that the proposed correlation matrix based selection algorithm is only slightly inferior to an optimal selection algorithm.
ER -