X-Structured Precoder Designs for Spatial-Multiplexing MIMO and MIMO Relay Systems

被引:5
作者
Lin, Chun-Tao [1 ]
Wu, Wen-Rong [1 ]
机构
[1] Natl Chiao Tung Univ, Inst Commun Engn, Hsinchu 300, Taiwan
关键词
Free distance; geometric mean decomposition (GMD); maximum-likelihood (ML) detection; MIMO; multiple-input-multiple-output (MIMO) relay systems; spatial multiplexing; X-structured precoder; MINIMUM EUCLIDEAN DISTANCE; MMSE TRANSCEIVER DESIGN; GAUSSIAN CHANNELS; LINEAR PRECODERS; DIVERSITY; COMPLEXITY;
D O I
10.1109/TVT.2013.2264688
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
In multiple-input-multiple-output (MIMO) transmission, precoding has been considered a promising technique to improve the system performance. In general, the criterion of precoder design depends on the detector used at the receiver. For the maximum-likelihood (ML) detector, the criterion is to maximize the minimum distance of the received signal constellation. Unfortunately, the derivation of the optimum solution is known to be difficult, and suboptimum solutions have then been developed. One promising approach confines the precoder having an X-structure. Several methods have been developed to solve the X-structured precoder. However, most of them use numerical searches to find their solutions and require lookup tables during run time. In this paper, we propose a systematic design method to solve the problems. The proposed precoder has a simple closed-form expression, and no numerical searches and lookup tables are required. Simulation results show that the proposed method can yield almost the same performance as the existing methods. We also consider the problem of joint source/relay precoder design in a two-hop amplify-and-forward MIMO relay system. Since the problem is much more involved and a closed-form solution is intractable to find, we then extend the use of the proposed X-structured precoder so that the problem can be reformulated as a simple scalar-valued optimization problem. Simulations show that the proposed method can significantly outperform existing joint design methods.
引用
收藏
页码:4430 / 4443
页数:14
相关论文
共 36 条
  • [1] Optimum finite-length equalization for multicarrier transceivers
    AlDhahir, N
    Cioffi, JM
    [J]. IEEE TRANSACTIONS ON COMMUNICATIONS, 1996, 44 (01) : 56 - 64
  • [2] Boyd S., 2004, CONVEX OPTIMIZATION, VFirst, DOI DOI 10.1017/CBO9780511804441
  • [3] Optimal minimum distance-based precoder for MIMO spatial multiplexing systems
    Collin, L
    Berder, O
    Rostaing, P
    Burel, G
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2004, 52 (03) : 617 - 627
  • [4] Foschini G. J., 1996, Bell Labs Technical Journal, V1, P41, DOI 10.1002/bltj.2015
  • [5] Joint MMSE transceiver design in non-regenerative MIMO relay systems
    Guan, Wei
    Luo, Hanwen
    [J]. IEEE COMMUNICATIONS LETTERS, 2008, 12 (07) : 517 - 519
  • [6] Uniform channel decomposition for MIMO communications
    Jiang, Y
    Li, J
    Hager, WW
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2005, 53 (11) : 4283 - 4294
  • [7] Joint transceiver design for MIMO communications using geometric mean decomposition
    Jiang, Y
    Li, H
    Hager, WW
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2005, 53 (10) : 3791 - 3803
  • [8] A Stochastic MIMO radio channel model with experimental validation
    Kermoal, JP
    Schumacher, L
    Pedersen, KI
    Mogensen, PE
    Frederiksen, F
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2002, 20 (06) : 1211 - 1226
  • [9] Cooperative diversity in wireless networks: Efficient protocols and outage behavior
    Laneman, JN
    Tse, DNC
    Wornell, GW
    [J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 2004, 50 (12) : 3062 - 3080
  • [10] Lee H., 2006, IEEE Radio Frequency Integrated Circuit, P1