上行多用戶MIMO中繼系統(tǒng)中基于不完全信道狀態(tài)信息的預(yù)編碼算法

陳小敏; 朱益民; 蘇君煦; 朱秋明; 胡續(xù)俊

doi:10.11999/JEIT151161

上行多用戶MIMO中繼系統(tǒng)中基于不完全信道狀態(tài)信息的預(yù)編碼算法

doi: 10.11999/JEIT151161

基金項(xiàng)目:

中國(guó)博士后科學(xué)基金(2013M541661)，中央高?；究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)資金資助(NS2016044)

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出版歷程
- 收稿日期: 2015-10-21
- 修回日期: 2016-02-26
- 刊出日期: 2016-08-19

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

Funds:

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

摘要

摘要: 論文研究了存在信道估計(jì)誤差及天線相關(guān)條件下，上行多用戶MIMO中繼系統(tǒng)的預(yù)編碼問題，目標(biāo)是提升系統(tǒng)的誤比特率性能。針對(duì)基于放大轉(zhuǎn)發(fā)中繼技術(shù)的上行多用戶MIMO中繼系統(tǒng)，考慮源-中繼和中繼-目的端信道中存在的信道估計(jì)誤差及天線相關(guān)，提出一種基于不完全信道狀態(tài)信息(Channel State Information, CSI)的預(yù)編碼設(shè)計(jì)方案。首先根據(jù)最小均方誤差(Minimum Mean-Squared Error, MMSE)準(zhǔn)則設(shè)計(jì)代價(jià)函數(shù)，以發(fā)射端和中繼端最大功率為約束條件，通過理論推導(dǎo)求得中繼端和發(fā)射端的線性預(yù)編碼矩陣，最后采用迭代下降法得到接收端處理矩陣的閉式解。數(shù)值仿真結(jié)果表明，在存在信道估計(jì)誤差和天線相關(guān)的條件下，與現(xiàn)有算法相比，所提算法能有效降低系統(tǒng)的誤比特率。
- 上行多用戶MIMO中繼 /
- 放大轉(zhuǎn)發(fā) /
- 最小均方誤差 /
- 天線相關(guān) /
- 信道估計(jì)誤差
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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參考文獻(xiàn)(18)

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. 同信道干擾條件下的多天線放大轉(zhuǎn)發(fā)中繼中斷概率分析[J]. 電子與信息學(xué)報(bào), 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.

于曉丹, 陳小敏, 譚偉, 等. 存在信道反饋延遲時(shí)Turbo- BLAST系統(tǒng)的自適應(yīng)功率分配算法[J]. 電子與信息學(xué)報(bào), 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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