標題: X-Structured Precoder Designs for Spatial-Multiplexing MIMO and MIMO Relay Systems
作者: Lin, Chun-Tao
Wu, Wen-Rong
傳播研究所
Institute of Communication Studies
關鍵字: Free distance;geometric mean decomposition (GMD);maximum-likelihood (ML) detection;MIMO;multiple-input-multiple-output (MIMO) relay systems;spatial multiplexing;X-structured precoder
公開日期: 1-十一月-2013
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.
URI: http://dx.doi.org/10.1109/TVT.2013.2264688
http://hdl.handle.net/11536/23287
ISSN: 0018-9545
DOI: 10.1109/TVT.2013.2264688
期刊: IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume: 62
Issue: 9
起始頁: 4430
結束頁: 4443
顯示於類別:期刊論文


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  1. 000326981200025.pdf