A Practical Transmit Antenna Selection Scheme with Adaptive Modulation for Spatial Multiplexing Systems

YingRao WEI; MuZhong WANG

doi:10.1093/ietcom/e90-b.4.943

A Practical Transmit Antenna Selection Scheme with Adaptive Modulation for Spatial Multiplexing Systems

YingRao WEI, MuZhong WANG

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This paper presents a novel threshold-based selection scheme to combine adaptive transmit antenna selection with an adaptive quadrature amplitude modulation (AQAM) for a spatial multiplexing (SM) multiple-input multiple-output (MIMO) system with linear receivers in practical uncorrelated and correlated channel conditions. The proposed scheme aims to maximize the average spectral efficiency (ASE) for a given bit error rate (BER) constraint and also to lower the hardware complexity. Our simulations are run on a general MIMO channel model, under the assumption that the channel state information (CSI) is known at the receiver and the adaptive control signaling can be perfectly fed back to the transmitter. We deploy the low rank-revealing QR (LRRQR) algorithm in transmit antenna subset selection. LRRQR is computationally less expensive than a singular value decomposition (SVD) based algorithm while the two algorithms achieve similar error rate performances. We show that both the conventional AQAM scheme (i.e., without adaptive transmit antenna selection) and the SM scheme perform poorly in a highly correlated channel environment. We demonstrate that our proposed scheme provides a well-behaved trade-off between the ASE and BER under various channel environments. The ASE (i.e., throughput) can be maximized with a proper choice of the channel quality threshold and AQAM mode switching threshold levels for a target BER.

Publication: IEICE TRANSACTIONS on Communications Vol.E90-B No.4 pp.943-951

Publication Date: 2007/04/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1093/ietcom/e90-b.4.943

Type of Manuscript: PAPER

Category: Wireless Communication Technologies

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YingRao WEI, MuZhong WANG, "A Practical Transmit Antenna Selection Scheme with Adaptive Modulation for Spatial Multiplexing Systems" in IEICE TRANSACTIONS on Communications, vol. E90-B, no. 4, pp. 943-951, April 2007, doi: 10.1093/ietcom/e90-b.4.943.
Abstract: This paper presents a novel threshold-based selection scheme to combine adaptive transmit antenna selection with an adaptive quadrature amplitude modulation (AQAM) for a spatial multiplexing (SM) multiple-input multiple-output (MIMO) system with linear receivers in practical uncorrelated and correlated channel conditions. The proposed scheme aims to maximize the average spectral efficiency (ASE) for a given bit error rate (BER) constraint and also to lower the hardware complexity. Our simulations are run on a general MIMO channel model, under the assumption that the channel state information (CSI) is known at the receiver and the adaptive control signaling can be perfectly fed back to the transmitter. We deploy the low rank-revealing QR (LRRQR) algorithm in transmit antenna subset selection. LRRQR is computationally less expensive than a singular value decomposition (SVD) based algorithm while the two algorithms achieve similar error rate performances. We show that both the conventional AQAM scheme (i.e., without adaptive transmit antenna selection) and the SM scheme perform poorly in a highly correlated channel environment. We demonstrate that our proposed scheme provides a well-behaved trade-off between the ASE and BER under various channel environments. The ASE (i.e., throughput) can be maximized with a proper choice of the channel quality threshold and AQAM mode switching threshold levels for a target BER.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e90-b.4.943/_p

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@ARTICLE{e90-b_4_943,
author={YingRao WEI, MuZhong WANG, },
journal={IEICE TRANSACTIONS on Communications},
title={A Practical Transmit Antenna Selection Scheme with Adaptive Modulation for Spatial Multiplexing Systems},
year={2007},
volume={E90-B},
number={4},
pages={943-951},
abstract={This paper presents a novel threshold-based selection scheme to combine adaptive transmit antenna selection with an adaptive quadrature amplitude modulation (AQAM) for a spatial multiplexing (SM) multiple-input multiple-output (MIMO) system with linear receivers in practical uncorrelated and correlated channel conditions. The proposed scheme aims to maximize the average spectral efficiency (ASE) for a given bit error rate (BER) constraint and also to lower the hardware complexity. Our simulations are run on a general MIMO channel model, under the assumption that the channel state information (CSI) is known at the receiver and the adaptive control signaling can be perfectly fed back to the transmitter. We deploy the low rank-revealing QR (LRRQR) algorithm in transmit antenna subset selection. LRRQR is computationally less expensive than a singular value decomposition (SVD) based algorithm while the two algorithms achieve similar error rate performances. We show that both the conventional AQAM scheme (i.e., without adaptive transmit antenna selection) and the SM scheme perform poorly in a highly correlated channel environment. We demonstrate that our proposed scheme provides a well-behaved trade-off between the ASE and BER under various channel environments. The ASE (i.e., throughput) can be maximized with a proper choice of the channel quality threshold and AQAM mode switching threshold levels for a target BER.},
keywords={},
doi={10.1093/ietcom/e90-b.4.943},
ISSN={1745-1345},
month={April},}

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TY - JOUR
TI - A Practical Transmit Antenna Selection Scheme with Adaptive Modulation for Spatial Multiplexing Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 943
EP - 951
AU - YingRao WEI
AU - MuZhong WANG
PY - 2007
DO - 10.1093/ietcom/e90-b.4.943
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E90-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2007
AB - This paper presents a novel threshold-based selection scheme to combine adaptive transmit antenna selection with an adaptive quadrature amplitude modulation (AQAM) for a spatial multiplexing (SM) multiple-input multiple-output (MIMO) system with linear receivers in practical uncorrelated and correlated channel conditions. The proposed scheme aims to maximize the average spectral efficiency (ASE) for a given bit error rate (BER) constraint and also to lower the hardware complexity. Our simulations are run on a general MIMO channel model, under the assumption that the channel state information (CSI) is known at the receiver and the adaptive control signaling can be perfectly fed back to the transmitter. We deploy the low rank-revealing QR (LRRQR) algorithm in transmit antenna subset selection. LRRQR is computationally less expensive than a singular value decomposition (SVD) based algorithm while the two algorithms achieve similar error rate performances. We show that both the conventional AQAM scheme (i.e., without adaptive transmit antenna selection) and the SM scheme perform poorly in a highly correlated channel environment. We demonstrate that our proposed scheme provides a well-behaved trade-off between the ASE and BER under various channel environments. The ASE (i.e., throughput) can be maximized with a proper choice of the channel quality threshold and AQAM mode switching threshold levels for a target BER.
ER -