.png){kind=icon}
返回
A near maximum likelihood performance modified firefly algorithm for large MIMO detection
.png){kind=icon}
PRE
AI
DOI：10.1016/j.swevo.2018.09.004.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
To meet the ever-growing demand for high data rates, employing a large number of antennas at both the transmitter and receiver is a necessity for future advanced wireless systems. Multiple-input multiple-output (MIMO) systems, which are equipped with multiple antennas, provide high data rates with high spectral efficiency. However, the design of an efficient, robust and non-erroneous detection algorithm is a huge challenge in large MIMO systems. In this paper, a stochastic bio-inspired meta-heuristic algorithm is proposed for large MIMO detection. The proposed algorithm is motivated by the bioluminescence of fireflies and uses a probabilistic metric to update solutions in the search space. Robustness of the proposed algorithm is verified under channel estimation errors at the receiver. Simulation results reveal that the proposed algorithm outperforms unordered congestion control ant colony optimization, congestion control ant colony optimization, standard particle swarm optimization, binary particle swarm optimization, memetic particle swarm optimization, firefly algorithm, firefly algorithm with neighborhood attraction, minimum mean square error and successive interference cancellation based MIMO detection techniques in terms of bit error rate (BER) performance. The proposed algorithm achieves near maximum likelihood BER performance with lower computational complexity. This makes the proposed algorithm an appropriate candidate for reliable detection in future large MIMO systems.
Keyword:
Firefly algorithm
Multiple-input multiple-output
Minimum mean square error
Channel estimation error
Maximum likelihood
Successive interference cancellation
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
8.5
论文数:
2.2K
被引数:
1.0W
机构
引用论文
Metaheuristics in combinatorial optimization: Overview and conceptual comparison组合优化中的元启发式: 概述和概念比较
PREAI
分享收藏Non-parametric likelihood based channel estimator for Gaussian mixture noise基于非参数似然的高斯混合噪声信道估计.png)
SIGNAL PROCESSING
SIGNAL PROCESSINGIF3.6
PREAI
分享收藏Chd8 mediates cortical neurogenesis via transcriptional regulation of cell cycle and Wnt signaling
OAAI
OAAI分享收藏
查看更多内容