Linear precoding in distributed MIMO systems with partial CSIT

被引:1
作者
Xu, Chongbin [1 ]
Zhang, Jianwen [1 ]
Zheng, Fuchun [2 ]
Ping, Li [1 ]
机构
[1] City Univ Hong Kong, Dept Elect Engn, Kowloon, Hong Kong, Peoples R China
[2] Univ Reading, Sch Syst Engn, Reading RG6 6AY, Berks, England
关键词
Distributed multiple-input multiple-output (MIMO) systems; Channel state information at the transmitter (CSIT); Linear precoding; Iterative detection; WIRELESS COMMUNICATION; TRANSCEIVER DESIGN; MULTIPLE-ACCESS; SPACE; CODES; CAPACITY; CHANNELS; EQUALIZATION; PERFORMANCE;
D O I
10.1186/1687-6180-2013-22
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We study the transmission problem in a distributed multiple-input multiple-output (MIMO) system consisting of several distributed transmitters and a common receiver. Assuming partial channel state information at the transmitter (CSIT), we propose a low-cost weighted channel matching and scattering (WCMS) linear precoding strategy. The proposed precoder can be decomposed into two parallel modules: channel matching (CM) and energy scattering. The signals generated by the CM modules from different transmitters provide a coherent gain with improved power efficiency. The use of the scattering modules provides robustness against CSIT uncertainty. By properly combining these two modules, WCMS can achieve coherent gain proportional to the accuracy of the available CSIT as well as robustness against CSIT error. WCMS is simple and fully decentralized and thus is highly suitable for a distributed MIMO system. Numerical results demonstrate that WCMS indeed achieves significant gains in distributed MIMO environments with partial CSIT.
引用
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页数:13
相关论文
共 42 条
[1]   Recent advances in single-carrier distributed antenna network [J].
Adachi, Fumiyuki ;
Takeda, Kazuki ;
Yamamoto, Tetsuya ;
Matsukawa, Ryusuke ;
Kumagai, Shinya .
WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2011, 11 (12) :1551-1563
[2]  
[Anonymous], 1997, NUMERICAL LINEAR ALG
[3]  
[Anonymous], 1985, Matrix Analysis
[4]  
[Anonymous], 2009, 2009 INT C MANAGEMEN, DOI DOI 10.1109/ICMSS.2009.5304217
[5]  
Bourdoux A, 2003, BOSTON 2003 RADIO & WIRELESS RAWCON CONFERENCE, PROCEEDINGS, P183
[6]  
Chongbin Xu, 2010, 2010 6th International Symposium on Turbo Codes & Iterative Information Processing (ISTC 2010), P24, DOI 10.1109/ISTC.2010.5613866
[7]  
Cover T.M., 2006, ELEMENTS INFORM THEO, V2nd ed
[8]   Capacity limits of MIMO channels [J].
Goldsmith, A ;
Jafar, SA ;
Jindal, N ;
Vishwanath, S .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2003, 21 (05) :684-702
[9]   High-rate codes that are linear in space and time [J].
Hassibi, B ;
Hochwald, BM .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2002, 48 (07) :1804-1824
[10]   Linear dispersion codes for MIMO systems based on frame theory [J].
Heath, RW ;
Paulraj, AJ .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2002, 50 (10) :2429-2441