Reduced-Complexity Maximum-Likelihood Decoding for 3D MIMO Code

被引:0
作者
Liu, Ming [1 ]
Helard, Jean-Francois [1 ]
Crussiere, Matthieu [1 ]
Helard, Maryline [1 ]
机构
[1] UEB, INSA, IETR, UMR 6164, F-35708 Rennes, France
来源
2013 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC) | 2013年
关键词
SPACE-TIME CODES; GOLDEN CODE; FULL-RATE; SYSTEMS;
D O I
暂无
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
The 3D MIMO code is a robust and efficient space-time coding scheme for the distributed MIMO broadcasting. However, it suffers from the high computational complexity if the optimal maximum-likelihood (ML) decoding is used. In this paper we first investigate the unique properties of the 3D MIMO code and consequently propose a simplified decoding algorithm without sacrificing the ML optimality. Analysis shows that the decoding complexity is reduced from O(M-8) to O(M-4.5) in quasi-static channels when M-ary square QAM constellation is used. Moreover, we propose an efficient implementation of the simplified ML decoder which achieves a much lower decoding time delay compared to the classical sphere decoder with Schnorr-Euchner enumeration.
引用
收藏
页码:4015 / 4020
页数:6
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