A MIMO Detector With Deep-Neural-Network for Faster-Than-Nyquist Optical Wireless Communications

doi:10.1109/JPHOT.2024.3373002

IR > 计算机与通信学院

	A MIMO Detector With Deep-Neural-Network for Faster-Than-Nyquist Optical Wireless Communications
	Cao, Minghua; Yao, Ruifang; Sun, Qinxue; Zhang, Yue; Yang, Qing; Wang, Huiqin
	2024-04
发表期刊	IEEE PHOTONICS JOURNAL
ISSN	1943-0655
卷号	16 期号:2 页码:1-9
摘要	Conventional multiple input multiple output (MIMO) detection algorithms face challenges related to computational complexity and limited performance when handling high-dimensional inputs and complex channel conditions. In order to enhance signal recovery accuracy in atmospheric turbulence channels for faster-than-Nyquist (FTN) optical wireless communication (OWC) systems, a deep learning (DL) based MIMO detector is proposed. By leveraging a deep neural network (DNN), it becomes possible to learn nonlinear mappings within MIMO systems, resulting in improved detection performance while reducing computational overheads. Simulation results validate that our proposed DNN detector achieves comparable performance to the maximum likelihood (ML) method, while reducing complexity by 40%.
关键词	Deep neural network faster-than-nyquist multiple input multiple output optical wireless communication
DOI	10.1109/JPHOT.2024.3373002
收录类别	SCIE ; EI
语种	英语
资助项目	NSFC Program
WOS研究方向	Engineering ; Optics ; Physics
WOS类目	Engineering, Electrical & Electronic ; Optics ; Physics, Applied
WOS记录号	WOS:001189861100008
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
EI入藏号	20241215759929
EI主题词	Signal detection
EI分类号	443.1 Atmospheric Properties ; 461.4 Ergonomics and Human Factors Engineering ; 631.1 Fluid Flow, General ; 703.2 Electric Filters ; 716.1 Information Theory and Signal Processing ; 717.1 Optical Communication Systems ; 722 Computer Systems and Equipment ; 723.2 Data Processing and Image Processing ; 731.1 Control Systems ; 922.1 Probability Theory
原始文献类型	Article
EISSN	1943-0647
引用统计	无
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/170190
专题	计算机与通信学院
通讯作者	Cao, Minghua
作者单位	Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou 730050, Peoples R China
第一作者单位	兰州理工大学
通讯作者单位	兰州理工大学
第一作者的第一单位	兰州理工大学
推荐引用方式 GB/T 7714	Cao, Minghua,Yao, Ruifang,Sun, Qinxue,et al. A MIMO Detector With Deep-Neural-Network for Faster-Than-Nyquist Optical Wireless Communications[J]. IEEE PHOTONICS JOURNAL,2024,16(2):1-9.
APA	Cao, Minghua,Yao, Ruifang,Sun, Qinxue,Zhang, Yue,Yang, Qing,&Wang, Huiqin.(2024).A MIMO Detector With Deep-Neural-Network for Faster-Than-Nyquist Optical Wireless Communications.IEEE PHOTONICS JOURNAL,16(2),1-9.
MLA	Cao, Minghua,et al."A MIMO Detector With Deep-Neural-Network for Faster-Than-Nyquist Optical Wireless Communications".IEEE PHOTONICS JOURNAL 16.2(2024):1-9.