Precoding Scheme for Up-link Multi-user MIMO System with Imperfect Channel State Information

CHEN Xiaomin; ZHU Yimin; SU Junxu; ZHU Qiuming; HU Xujun

doi:10.11999/JEIT151161

Volume 38 Issue 8

Sep. 2016

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(8): 1908-1912

CHEN Xiaomin, ZHU Yimin, SU Junxu, ZHU Qiuming, HU Xujun. Precoding Scheme for Up-link Multi-user MIMO System with Imperfect Channel State Information[J]. Journal of Electronics & Information Technology, 2016, 38(8): 1908-1912. doi: 10.11999/JEIT151161

Citation:

CHEN Xiaomin, ZHU Yimin, SU Junxu, ZHU Qiuming, HU Xujun. Precoding Scheme for Up-link Multi-user MIMO System with Imperfect Channel State Information[J]. Journal of Electronics & Information Technology, 2016, 38(8): 1908-1912. doi: 10.11999/JEIT151161

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Precoding Scheme for Up-link Multi-user MIMO System with Imperfect Channel State Information

doi: 10.11999/JEIT151161

Funds:

Chinese Postdoctoral Science Foundation (2013M541661), The Fundamental Research Funds for the Central Universities (NS2016044)

Received Date: 2015-10-21
Rev Recd Date: 2016-02-26
Publish Date: 2016-08-19

Abstract

Abstract

This paper investigates transceiver design for dual-hop up-link multi-user Multiple-Input Multiple- Output (MIMO) system with Amplify-and-Forward (AF) relay to improve the performance of Bit Error Ratio (BER) under the imperfect Channel State Information (CSI). Since the antenna correlation at both ends of the channel and the channel estimation errors are taken into account, a robust transceiver design is proposed. The optimization issue is formed with Minimum Mean-Square Error (MMSE) rule firstly. Then the relaying matrix and the optimal source precoding matrix are optimized at the maximum power constraint of the transmitter and relay station subsequently. Finally, the equalizer is optimized by a gradient-based line search algorithm. Simulation results indicate that the proposed design approach achieves better robustness against antenna correlation and channel estimation errors than existing methods.
- Up-link multi-user MIMO relay system,
- Amplify-and-forward,
- Minimum Mean-Square Error (MMSE),
- Antenna correlation,
- Channel estimation errors

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References(18)

References

SANGUINETTI L, AMICO A, and RONG Y. A tutorial on the optimization of amplify-and-forward MIMO relay systems[J]. IEEE Journal Selected on Areas in Communications, 2012, 30(8): 1331-1346.

TELATAR E. Capacity of multi-antenna Gaussian channels[J]. European Transactions on Telecommunications, 1999, 6(10): 585-595.

TANG X and HUA Y. Optimal design of non-regenerative MIMO wireless relays[J]. IEEE Transactions on Wireless Communications, 2007, 6(4): 1398-1407.

GUAN W and LUO H. Joint MMSE transceiver design in non-regenerative MIMO relay systems[J]. IEEE Communications Letters, 2008, 12(7): 517-519.

SHEN H, XU W, and ZHAO C. Robust transceiver for AF MIMO relaying with direct link: a globally optimal solution [J]. IEEE Signal Processing Letters, 2014, 21(8): 947-951.

ZHAI C, LI X, and HEI Y. Joint linear transceiver design for uplink multiuser non-regenerative MIMO relay systems[C]. IEEE International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM), Wuhan, 2011: 1-4.

KHANDAKER M R and RONG Y. Joint transceiver optimization for multiuser MIMO relay communication systems[J]. IEEE Transactions on Signal Processing, 2012, 60(11): 5977-5986.

ZHAO C and CHAMPAGNE B. A unified approach to optimal transceiver design for non-regenerative MIMO relaying[J]. IEEE Transactions on Vehicular Technology, 2013, 66(7): 2938-2951.

LIU J, GAO F, and QIU Z. Robust transceiver design for multi-user multiple-input multiple-output amplify-and- forward relay systems[J]. IET Communications, 2014, 8(12): 2162-2170.

DING M and BLOSTEIN S D. MIMO minimum total MSE transceiver design with imperfect CSI at both ends[J]. IEEE Transactions on Signal Processing, 2009, 57(3): 1141-1150.

李敏, 林敏. 同信道干扰条件下的多天线放大转发中继中断概率分析[J]. 电子与信息学报, 2015, 37(1): 163-168. doi: 10.11999/JEIT140141.

LI Min and LIN Min. Outage probability analysis of dual-hop MIMO amplify-and-forward relaying with multiple cochannel interferences[J]. Journal of Electronics Information Technology, 2015, 37(1): 163-168. doi: 10.11999/JEIT140141.

于晓丹, 陈小敏, 谭伟, 等. 存在信道反馈延迟时Turbo- BLAST系统的自适应功率分配算法[J]. 电子与信息学报, 2014, 36(4): 787-791. doi: 10.3724/SP.J.1146.2013.00872.

YU Xiaodan, CHEN Xiaomin, TAN Wei, et al. Adaptive power allocation algorithm for Turbo-BLAST system with channel feedback delay[J]. Journal of Electronics Information Technology, 2014, 36(4): 787-791. doi: 10.3724/ SP.J.1146.2013.00872.

WANG R and TAO M. Joint source and relay precoding designs for MIMO two-way relaying based on MSE criterion [J]. IEEE Transactions on Signal Processing, 2012, 60(3): 1352-1365.

CHEN W X, MA S D, WU Y C, et al. Robust joint design of linear relay precoder and destination equalizer for dual-hop amplify-and-forward MIMO relay systems[J]. IEEE Transactions on Signal Processing, 2010, 58(4): 2273-2283.

CHEN C E and CHOU S K. A gradient-descent weighted sum MSE transceiver design for multi-user multi-relay downlink systems[C]. IEEE Vehicular Technology Conference (VTC Spring), Glasgow, 2015: 1-4.

STEPHEN B and LIEVEN V. Convex Optimization[M]. New York: Cambridge University Press, 2004: 466-469.

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