Weighted Sum-MSE Minimization for the Multiuser MIMO Relay System

Seunghun JANG; Dong Ku KIM

doi:10.1587/transcom.E94.B.2401

Weighted Sum-MSE Minimization for the Multiuser MIMO Relay System

Seunghun JANG, Dong Ku KIM

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We study a joint optimal design of the receive equalizer and relaying architecture in terms of the weighted sum of mean square errors for the multi-user multiple-input multiple-output (MIMO) relaying system. We show that the optimal relaying architecture depends on the weight factors and that conventional diagonal relaying is a special case of the proposed relaying architecture. Interestingly, for unequal weights, it turns out that the optimal relaying is different from the existing diagonal relaying schemes. By simulation, we show that the proposed joint design improves the weighted sum of mean square error (MSE) over the existing MIMO relaying schemes.

Publication: IEICE TRANSACTIONS on Communications Vol.E94-B No.8 pp.2401-2405

Publication Date: 2011/08/01

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Online ISSN: 1745-1345

DOI: 10.1587/transcom.E94.B.2401

Type of Manuscript: LETTER

Category: Wireless Communication Technologies

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Seunghun JANG, Dong Ku KIM, "Weighted Sum-MSE Minimization for the Multiuser MIMO Relay System" in IEICE TRANSACTIONS on Communications, vol. E94-B, no. 8, pp. 2401-2405, August 2011, doi: 10.1587/transcom.E94.B.2401.
Abstract: We study a joint optimal design of the receive equalizer and relaying architecture in terms of the weighted sum of mean square errors for the multi-user multiple-input multiple-output (MIMO) relaying system. We show that the optimal relaying architecture depends on the weight factors and that conventional diagonal relaying is a special case of the proposed relaying architecture. Interestingly, for unequal weights, it turns out that the optimal relaying is different from the existing diagonal relaying schemes. By simulation, we show that the proposed joint design improves the weighted sum of mean square error (MSE) over the existing MIMO relaying schemes.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.2401/_p

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@ARTICLE{e94-b_8_2401,
author={Seunghun JANG, Dong Ku KIM, },
journal={IEICE TRANSACTIONS on Communications},
title={Weighted Sum-MSE Minimization for the Multiuser MIMO Relay System},
year={2011},
volume={E94-B},
number={8},
pages={2401-2405},
abstract={We study a joint optimal design of the receive equalizer and relaying architecture in terms of the weighted sum of mean square errors for the multi-user multiple-input multiple-output (MIMO) relaying system. We show that the optimal relaying architecture depends on the weight factors and that conventional diagonal relaying is a special case of the proposed relaying architecture. Interestingly, for unequal weights, it turns out that the optimal relaying is different from the existing diagonal relaying schemes. By simulation, we show that the proposed joint design improves the weighted sum of mean square error (MSE) over the existing MIMO relaying schemes.},
keywords={},
doi={10.1587/transcom.E94.B.2401},
ISSN={1745-1345},
month={August},}

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TY - JOUR
TI - Weighted Sum-MSE Minimization for the Multiuser MIMO Relay System
T2 - IEICE TRANSACTIONS on Communications
SP - 2401
EP - 2405
AU - Seunghun JANG
AU - Dong Ku KIM
PY - 2011
DO - 10.1587/transcom.E94.B.2401
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2011
AB - We study a joint optimal design of the receive equalizer and relaying architecture in terms of the weighted sum of mean square errors for the multi-user multiple-input multiple-output (MIMO) relaying system. We show that the optimal relaying architecture depends on the weight factors and that conventional diagonal relaying is a special case of the proposed relaying architecture. Interestingly, for unequal weights, it turns out that the optimal relaying is different from the existing diagonal relaying schemes. By simulation, we show that the proposed joint design improves the weighted sum of mean square error (MSE) over the existing MIMO relaying schemes.
ER -