Distributed Relay Selection for MIMO-SDM Cooperative Networks

Xuan Nam TRAN; Vinh Hanh NGUYEN; Thanh Tam BUI; The Cuong DINH; Yoshio KARASAWA

doi:10.1587/transcom.E95.B.1170

Distributed Relay Selection for MIMO-SDM Cooperative Networks

Xuan Nam TRAN, Vinh Hanh NGUYEN, Thanh Tam BUI, The Cuong DINH, Yoshio KARASAWA

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In this paper, we consider an amplify-and-forward cooperative wireless network in which network nodes use multiple input multiple output (MIMO) spatial division multiplexing (SDM) to communicate with one another. We examine the problem of distributed cooperative relay selection and signal combining at the destination. First, we propose three distributed relay selection algorithms based on the maximum channel gains, the maximum harmonic mean of the channel gains, and the minimum mean squared error (MSE) of the signal estimation. Second, we propose a minimum mean square error (MMSE) signal combining scheme which jointly serves as the optimal signal combiner and interference canceler. It is shown that the MSE selection together with the MMSE combining achieves the maximal diversity gain. We also show that in MIMO-SDM cooperative networks increasing the number of candidate nodes does not help to improve the BER performance as opposed to the cooperative networks where each node is equipped with only single antenna. A practical approach to implementation of the combiner based on the current wireless access network protocols will also be presented.

Publication: IEICE TRANSACTIONS on Communications Vol.E95-B No.4 pp.1170-1179

Publication Date: 2012/04/01

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Online ISSN: 1745-1345

DOI: 10.1587/transcom.E95.B.1170

Type of Manuscript: Special Section PAPER (Special Section on Cognitive Radio and Heterogeneous Wireless Networks in Conjunction with Main Topics of CrownCom2011)

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Xuan Nam TRAN, Vinh Hanh NGUYEN, Thanh Tam BUI, The Cuong DINH, Yoshio KARASAWA, "Distributed Relay Selection for MIMO-SDM Cooperative Networks" in IEICE TRANSACTIONS on Communications, vol. E95-B, no. 4, pp. 1170-1179, April 2012, doi: 10.1587/transcom.E95.B.1170.
Abstract: In this paper, we consider an amplify-and-forward cooperative wireless network in which network nodes use multiple input multiple output (MIMO) spatial division multiplexing (SDM) to communicate with one another. We examine the problem of distributed cooperative relay selection and signal combining at the destination. First, we propose three distributed relay selection algorithms based on the maximum channel gains, the maximum harmonic mean of the channel gains, and the minimum mean squared error (MSE) of the signal estimation. Second, we propose a minimum mean square error (MMSE) signal combining scheme which jointly serves as the optimal signal combiner and interference canceler. It is shown that the MSE selection together with the MMSE combining achieves the maximal diversity gain. We also show that in MIMO-SDM cooperative networks increasing the number of candidate nodes does not help to improve the BER performance as opposed to the cooperative networks where each node is equipped with only single antenna. A practical approach to implementation of the combiner based on the current wireless access network protocols will also be presented.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E95.B.1170/_p

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@ARTICLE{e95-b_4_1170,
author={Xuan Nam TRAN, Vinh Hanh NGUYEN, Thanh Tam BUI, The Cuong DINH, Yoshio KARASAWA, },
journal={IEICE TRANSACTIONS on Communications},
title={Distributed Relay Selection for MIMO-SDM Cooperative Networks},
year={2012},
volume={E95-B},
number={4},
pages={1170-1179},
abstract={In this paper, we consider an amplify-and-forward cooperative wireless network in which network nodes use multiple input multiple output (MIMO) spatial division multiplexing (SDM) to communicate with one another. We examine the problem of distributed cooperative relay selection and signal combining at the destination. First, we propose three distributed relay selection algorithms based on the maximum channel gains, the maximum harmonic mean of the channel gains, and the minimum mean squared error (MSE) of the signal estimation. Second, we propose a minimum mean square error (MMSE) signal combining scheme which jointly serves as the optimal signal combiner and interference canceler. It is shown that the MSE selection together with the MMSE combining achieves the maximal diversity gain. We also show that in MIMO-SDM cooperative networks increasing the number of candidate nodes does not help to improve the BER performance as opposed to the cooperative networks where each node is equipped with only single antenna. A practical approach to implementation of the combiner based on the current wireless access network protocols will also be presented.},
keywords={},
doi={10.1587/transcom.E95.B.1170},
ISSN={1745-1345},
month={April},}

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TY - JOUR
TI - Distributed Relay Selection for MIMO-SDM Cooperative Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 1170
EP - 1179
AU - Xuan Nam TRAN
AU - Vinh Hanh NGUYEN
AU - Thanh Tam BUI
AU - The Cuong DINH
AU - Yoshio KARASAWA
PY - 2012
DO - 10.1587/transcom.E95.B.1170
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E95-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2012
AB - In this paper, we consider an amplify-and-forward cooperative wireless network in which network nodes use multiple input multiple output (MIMO) spatial division multiplexing (SDM) to communicate with one another. We examine the problem of distributed cooperative relay selection and signal combining at the destination. First, we propose three distributed relay selection algorithms based on the maximum channel gains, the maximum harmonic mean of the channel gains, and the minimum mean squared error (MSE) of the signal estimation. Second, we propose a minimum mean square error (MMSE) signal combining scheme which jointly serves as the optimal signal combiner and interference canceler. It is shown that the MSE selection together with the MMSE combining achieves the maximal diversity gain. We also show that in MIMO-SDM cooperative networks increasing the number of candidate nodes does not help to improve the BER performance as opposed to the cooperative networks where each node is equipped with only single antenna. A practical approach to implementation of the combiner based on the current wireless access network protocols will also be presented.
ER -