IEICE TRANSACTIONS on Communications
Robust Transceiver Design for Multiuser MIMO Downlink with Channel Uncertainties
Summary :
This letter addresses the problem of robust transceiver design for the multiuser multiple-input-multiple-output (MIMO) downlink where the channel state information at the base station (BS) is imperfect. A stochastic approach which minimizes the expectation of the total mean square error (MSE) of the downlink conditioned on the channel estimates under a total transmit power constraint is adopted. The iterative algorithm reported in [2] is improved to handle the proposed robust optimization problem. Simulation results show that our proposed robust scheme effectively reduces the performance loss due to channel uncertainties and outperforms existing methods, especially when the channel errors of the users are different.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E91-B No.10 pp.3351-3354
- Publication Date
- 2008/10/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1093/ietcom/e91-b.10.3351
- Type of Manuscript
- LETTER
- Category
- Wireless Communication Technologies
Authors
Keyword
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Wei MIAO, Yunzhou LI, Xiang CHEN, Shidong ZHOU, Jing WANG, "Robust Transceiver Design for Multiuser MIMO Downlink with Channel Uncertainties" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 10, pp. 3351-3354, October 2008, doi: 10.1093/ietcom/e91-b.10.3351.
Abstract: This letter addresses the problem of robust transceiver design for the multiuser multiple-input-multiple-output (MIMO) downlink where the channel state information at the base station (BS) is imperfect. A stochastic approach which minimizes the expectation of the total mean square error (MSE) of the downlink conditioned on the channel estimates under a total transmit power constraint is adopted. The iterative algorithm reported in [2] is improved to handle the proposed robust optimization problem. Simulation results show that our proposed robust scheme effectively reduces the performance loss due to channel uncertainties and outperforms existing methods, especially when the channel errors of the users are different.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.10.3351/_p
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@ARTICLE{e91-b_10_3351,
author={Wei MIAO, Yunzhou LI, Xiang CHEN, Shidong ZHOU, Jing WANG, },
journal={IEICE TRANSACTIONS on Communications},
title={Robust Transceiver Design for Multiuser MIMO Downlink with Channel Uncertainties},
year={2008},
volume={E91-B},
number={10},
pages={3351-3354},
abstract={This letter addresses the problem of robust transceiver design for the multiuser multiple-input-multiple-output (MIMO) downlink where the channel state information at the base station (BS) is imperfect. A stochastic approach which minimizes the expectation of the total mean square error (MSE) of the downlink conditioned on the channel estimates under a total transmit power constraint is adopted. The iterative algorithm reported in [2] is improved to handle the proposed robust optimization problem. Simulation results show that our proposed robust scheme effectively reduces the performance loss due to channel uncertainties and outperforms existing methods, especially when the channel errors of the users are different.},
keywords={},
doi={10.1093/ietcom/e91-b.10.3351},
ISSN={1745-1345},
month={October},}
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TY - JOUR
TI - Robust Transceiver Design for Multiuser MIMO Downlink with Channel Uncertainties
T2 - IEICE TRANSACTIONS on Communications
SP - 3351
EP - 3354
AU - Wei MIAO
AU - Yunzhou LI
AU - Xiang CHEN
AU - Shidong ZHOU
AU - Jing WANG
PY - 2008
DO - 10.1093/ietcom/e91-b.10.3351
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 2008
AB - This letter addresses the problem of robust transceiver design for the multiuser multiple-input-multiple-output (MIMO) downlink where the channel state information at the base station (BS) is imperfect. A stochastic approach which minimizes the expectation of the total mean square error (MSE) of the downlink conditioned on the channel estimates under a total transmit power constraint is adopted. The iterative algorithm reported in [2] is improved to handle the proposed robust optimization problem. Simulation results show that our proposed robust scheme effectively reduces the performance loss due to channel uncertainties and outperforms existing methods, especially when the channel errors of the users are different.
ER -
English
