IEICE TRANSACTIONS on Fundamentals
Max-Min Fairness for MIMO Interference Channels under CSI Mismatch
Summary :
This letter considers the robust transceiver design for multiple-input multiple-output interference channels under channel state information mismatch. According to alternating schemes, an adaptive algorithm is proposed to solve the minimum SINR maximization problem. Simulation results show the convergence and the effectiveness of the proposed algorithm.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E100-A No.6 pp.1349-1352
- Publication Date
- 2017/06/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E100.A.1349
- Type of Manuscript
- LETTER
- Category
- Communication Theory and Signals
Authors
Feng LIU
Shanghai Maritime University
Conggai LI
Shanghai Maritime University
Chen HE
Shanghai Jiao Tong University
Xuan GENG
Shanghai Maritime University
Keyword
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Feng LIU, Conggai LI, Chen HE, Xuan GENG, "Max-Min Fairness for MIMO Interference Channels under CSI Mismatch" in IEICE TRANSACTIONS on Fundamentals,
vol. E100-A, no. 6, pp. 1349-1352, June 2017, doi: 10.1587/transfun.E100.A.1349.
Abstract: This letter considers the robust transceiver design for multiple-input multiple-output interference channels under channel state information mismatch. According to alternating schemes, an adaptive algorithm is proposed to solve the minimum SINR maximization problem. Simulation results show the convergence and the effectiveness of the proposed algorithm.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.1349/_p
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@ARTICLE{e100-a_6_1349,
author={Feng LIU, Conggai LI, Chen HE, Xuan GENG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Max-Min Fairness for MIMO Interference Channels under CSI Mismatch},
year={2017},
volume={E100-A},
number={6},
pages={1349-1352},
abstract={This letter considers the robust transceiver design for multiple-input multiple-output interference channels under channel state information mismatch. According to alternating schemes, an adaptive algorithm is proposed to solve the minimum SINR maximization problem. Simulation results show the convergence and the effectiveness of the proposed algorithm.},
keywords={},
doi={10.1587/transfun.E100.A.1349},
ISSN={1745-1337},
month={June},}
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TY - JOUR
TI - Max-Min Fairness for MIMO Interference Channels under CSI Mismatch
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1349
EP - 1352
AU - Feng LIU
AU - Conggai LI
AU - Chen HE
AU - Xuan GENG
PY - 2017
DO - 10.1587/transfun.E100.A.1349
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2017
AB - This letter considers the robust transceiver design for multiple-input multiple-output interference channels under channel state information mismatch. According to alternating schemes, an adaptive algorithm is proposed to solve the minimum SINR maximization problem. Simulation results show the convergence and the effectiveness of the proposed algorithm.
ER -
English
