基于非理想CSI的下行MU-MIMO鲁棒波束成形

doi:10.3969/j.issn.0372-2112.2016.09.011

电子学报 ›› 2016, Vol. 44 ›› Issue (9): 2093-2099.DOI: 10.3969/j.issn.0372-2112.2016.09.011

基于非理想CSI的下行MU-MIMO鲁棒波束成形

曹杰^1,2, 廖勇^1,2, 王丹³, 周昕¹, 李瑜锋¹

1. 重庆大学飞行器测控与通信教育部重点实验室, 重庆 400044;
2. 西安电子科技大学综合业务网理论及关键技术国家重点实验室, 陕西西安 710071;
3. 重庆邮电大学通信与信息工程学院, 重庆 400065

收稿日期:2015-01-12 修回日期:2015-06-09 出版日期:2016-09-25
- 作者简介:
- 曹杰男,1990年出生于江西省九江市.重庆大学飞行器测控与通信教育部重点实验室硕士研究生.主要从事下行MIMO预编码、多小区协作等领域研究.E-mail:cjnanchangedu@126.com;廖勇男,1982年出生于四川省自贡市.2014年毕业于重庆大学,获博士学位,现为该校副研究员,从事宽带无线网络通信、飞行器测控与通信等领域研究工作.E-mail:liaoy@cqu.edu.cn
- 基金资助:
- 国家自然科学基金 (No.61501066）; 重庆市前沿与应用基础研究计划项目 (No.cstc2015jcyjA40003）; 西安电子科技大学综合业务网理论及关键技术国家重点实验室开放基金 (No.ISN16-03）; 中央高校基本科研业务费重点基金 (No.CDJZR165505）

Robust Beamforming for Downlink MU-MIMO Based on Imperfect CSI

CAO Jie^1,2, LIAO Yong^1,2, WANG Dan³, ZHOU Xin¹, LI Yu-feng¹

1. Key Laboratory of Aerocraft TT & C and Communication, Ministry of Education, Chongqing University, Chongqing 400044, China;
2. The State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, Shaanxi 710071, China;
3. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Received:2015-01-12 Revised:2015-06-09 Online:2016-09-25 Published:2016-09-25

摘要/Abstract

摘要：

在下行多用户多入多出（MU-MIMO）系统中，基站（BS）所获得的非理想信道状态信息（CSI）会导致频分双工（FDD）系统预编码性能变差.现有的MU-MIMO鲁棒预编码算法虽然可以对抗非理想CSI所导致的系统性能损失，但其只考虑其中一种或两种信道误差的鲁棒性，因此系统性能提升有限.本文通过建立包含信道估计误差、量化误差和延时误差的联合信道误差模型，推导出具有集中式特性的基于最小均方误差（MMSE）的鲁棒波束成形矩阵的闭式解；随后将这种信道条件应用到分布式通信系统，并推导出具有分布式特性的基于信号泄露的MMSE的鲁棒波束成形矩阵的闭式解.数值分析表明，本文所提的集中式和分布式MU-MIMO波束成形算法，与只考虑量化误差的鲁棒MMSE算法相比，具有更优的系统和速率与误码率，补偿了上述三种信道误差所导致的预编码性能损失.

关键词: 多用户多入多出, 信道状态信息, 频分双工, 信道误差, 波束成形, 最小均方误差

Abstract:

The channel state information (CSI) at base station (BS),obtained from users in the multiuser multiple input multiple output (MU-MIMO) system,leads to precoding performance degradation in frequency division duplexing (FDD) system.Existing robust beamforming precoding algorithms in MU-MIMO can reduce the performance loss caused by imperfect CSI.However,these algorithms only take one or two robustness channel errors into consideration,as a consequence,the system performance is limited to be improved.By establishing joint channel error model including channel estimation error,quantization error and delay error,we derive the closed-form solution of robust beamforming matrix based on minimum mean square error (MMSE).And then,we derive the closed-form solution of robust beamforming matrix based on MMSE of signal leakage with distributed characteristics while applying to distributed communication system.When compared to the traditional MMSE algorithm which only considers quantization error,numerical analysis shows that,the proposed centralized and distributed downlink MU-MIMO beamforming algorithms have better sum rate and bit error rate (BER),and reduce the precoding performance loss caused by the above three channel errors.

Key words: multiuser multiple input multiple output, channel state information, frequency division duplexing, channel error, beamforming, minimum mean square error

中图分类号:

TN925.5

曹杰, 廖勇, 王丹, 周昕, 李瑜锋. 基于非理想CSI的下行MU-MIMO鲁棒波束成形[J]. 电子学报, 2016, 44(9): 2093-2099.

CAO Jie, LIAO Yong, WANG Dan, ZHOU Xin, LI Yu-feng. Robust Beamforming for Downlink MU-MIMO Based on Imperfect CSI[J]. Acta Electronica Sinica, 2016, 44(9): 2093-2099.

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基于非理想CSI的下行MU-MIMO鲁棒波束成形

Robust Beamforming for Downlink MU-MIMO Based on Imperfect CSI

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