Low complexity variational bayes iterative reviver for MIMO-OFDM systems

Chunlin Xiong; Hua Wang; Xiaoying Zhang; Jibo Wei; Chaojing Tang

doi:10.1109/ICC.2009.5199155

Low complexity variational bayes iterative reviver for MIMO-OFDM systems

Chunlin Xiong, Hua Wang, Xiaoying Zhang, Jibo Wei, Chaojing Tang

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Abstract

A low complexity iterative receiver is proposed in this paper for MIMO-OFDM systems in time-varying multi-path channel based on the variational Bayes (VB) method. According to the VB method, the estimation algorithms of the signal distribution and the channel distribution are derived for the receiver. With the aid of the soft-output QRD-M algorithm, whose complexity is fixed and relatively low, the signal distribution can be obtained conveniently. In particular, a sequential channel estimation algorithm, which completely avoids the computation of matrix inversion and multiplication, is introduced for the channel distribution estimation. Moreover, the distribution estimations of the signals and the channels are performed in a cyclical iteration way. The simulation results show that the performance loss of the proposed receiver is only ldB for fast varying channels and less than 0.5 dB for slow varying channels at the bit error rate of 10-4 after 3 iterations, compared with the optimum receiver with perfect channel state information.

Original language	English
Title of host publication	IEEE International Conference on Communications, 2009. ICC '09.
Publisher	IEEE
Publication date	2009
Pages	1-5
ISBN (Print)	978-1-4244-3435-0
DOIs	https://doi.org/10.1109/ICC.2009.5199155
Publication status	Published - 2009
Event	2009 IEEE International Conference on Communications - Dresden, Germany Duration: 14 Jun 2009 → 18 Jun 2009 http://www.ieee-icc.org/2009/

Conference

Conference	2009 IEEE International Conference on Communications
Country/Territory	Germany
City	Dresden
Period	14/06/2009 → 18/06/2009
Internet address	http://www.ieee-icc.org/2009/

Bibliographical note

Copyright: 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

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title = "Low complexity variational bayes iterative reviver for MIMO-OFDM systems",

abstract = "A low complexity iterative receiver is proposed in this paper for MIMO-OFDM systems in time-varying multi-path channel based on the variational Bayes (VB) method. According to the VB method, the estimation algorithms of the signal distribution and the channel distribution are derived for the receiver. With the aid of the soft-output QRD-M algorithm, whose complexity is fixed and relatively low, the signal distribution can be obtained conveniently. In particular, a sequential channel estimation algorithm, which completely avoids the computation of matrix inversion and multiplication, is introduced for the channel distribution estimation. Moreover, the distribution estimations of the signals and the channels are performed in a cyclical iteration way. The simulation results show that the performance loss of the proposed receiver is only ldB for fast varying channels and less than 0.5 dB for slow varying channels at the bit error rate of 10-4 after 3 iterations, compared with the optimum receiver with perfect channel state information.",

author = "Chunlin Xiong and Hua Wang and Xiaoying Zhang and Jibo Wei and Chaojing Tang",

note = "Copyright: 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE; 2009 IEEE International Conference on Communications, ICC 2009 ; Conference date: 14-06-2009 Through 18-06-2009",

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doi = "10.1109/ICC.2009.5199155",

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AU - Xiong, Chunlin

AU - Wang, Hua

AU - Zhang, Xiaoying

AU - Wei, Jibo

AU - Tang, Chaojing

N1 - Copyright: 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

PY - 2009

Y1 - 2009

N2 - A low complexity iterative receiver is proposed in this paper for MIMO-OFDM systems in time-varying multi-path channel based on the variational Bayes (VB) method. According to the VB method, the estimation algorithms of the signal distribution and the channel distribution are derived for the receiver. With the aid of the soft-output QRD-M algorithm, whose complexity is fixed and relatively low, the signal distribution can be obtained conveniently. In particular, a sequential channel estimation algorithm, which completely avoids the computation of matrix inversion and multiplication, is introduced for the channel distribution estimation. Moreover, the distribution estimations of the signals and the channels are performed in a cyclical iteration way. The simulation results show that the performance loss of the proposed receiver is only ldB for fast varying channels and less than 0.5 dB for slow varying channels at the bit error rate of 10-4 after 3 iterations, compared with the optimum receiver with perfect channel state information.

AB - A low complexity iterative receiver is proposed in this paper for MIMO-OFDM systems in time-varying multi-path channel based on the variational Bayes (VB) method. According to the VB method, the estimation algorithms of the signal distribution and the channel distribution are derived for the receiver. With the aid of the soft-output QRD-M algorithm, whose complexity is fixed and relatively low, the signal distribution can be obtained conveniently. In particular, a sequential channel estimation algorithm, which completely avoids the computation of matrix inversion and multiplication, is introduced for the channel distribution estimation. Moreover, the distribution estimations of the signals and the channels are performed in a cyclical iteration way. The simulation results show that the performance loss of the proposed receiver is only ldB for fast varying channels and less than 0.5 dB for slow varying channels at the bit error rate of 10-4 after 3 iterations, compared with the optimum receiver with perfect channel state information.

U2 - 10.1109/ICC.2009.5199155

DO - 10.1109/ICC.2009.5199155

M3 - Article in proceedings

SN - 978-1-4244-3435-0

SP - 1

EP - 5

BT - IEEE International Conference on Communications, 2009. ICC '09.

PB - IEEE

T2 - 2009 IEEE International Conference on Communications

Y2 - 14 June 2009 through 18 June 2009

ER -

Low complexity variational bayes iterative reviver for MIMO-OFDM systems

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