Parallel signal detection for generalized spatial modulation MIMO systems

被引：0

作者：

Garcia-Molla, Victor M. ^{[1
]}

Angeles Simarro, M. ^{[1
]}

Martinez-Zaldivar, F. J. ^{[1
]}

Boratto, Murilo ^{[2
]}

Alonso, Pedro ^{[1
]}

Gonzalez, Alberto ^{[1
]}

机构：

[1] Univ Politecn Valencia, Valencia, Spain

[2] Univ Estado Bahia, Salvador, BA, Brazil

来源：

JOURNAL OF SUPERCOMPUTING | 2022年 / 78卷 / 05期

关键词：

MIMO communications; Maximum likelihood detection; Parallel computing; Generalized spatial modulation; MAXIMUM-LIKELIHOOD DETECTION; ALGORITHM; LATTICE; SEARCH;

D O I：

10.1007/s11227-021-04163-y

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Generalized Spatial Modulation is a recently developed technique that is designed to enhance the efficiency of transmissions in MIMO Systems. However, the procedure for correctly retrieving the sent signal at the receiving end is quite demanding. Specifically, the computation of the maximum likelihood solution is computationally very expensive. In this paper, we propose a parallel method for the computation of the maximum likelihood solution using the parallel computing library OpenMP. The proposed parallel algorithm computes the maximum likelihood solution faster than the sequential version, and substantially reduces the worst-case computing times.

引用

页码：7059 / 7077

页数：19

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