Deep Learning-Aided OFDM-Based Generalized Optical Quadrature Spatial Modulation

In this paper, we propose an orthogonal frequency division multiplexing (OFDM)-based generalized optical quadrature spatial modulation (GOQSM) technique for multiple-input multiple-output optical wireless communication (MIMO-OWC) systems. Considering the error propagation and noise amplification eff...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Chen Chen, Lin Zeng, Xin Zhong, Shu Fu, Min Liu, Pengfei Du
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2022
Materias:	Optical wireless communication orthogonal frequency division multiplexing multiple-input multiple-output deep neural network Applied optics. Photonics TA1501-1820 Optics. Light QC350-467
Acceso en línea:	https://doaj.org/article/448e0a1bed3141e6b0b8162877af7f89
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:448e0a1bed3141e6b0b8162877af7f89
record_format	dspace
spelling	oai:doaj.org-article:448e0a1bed3141e6b0b8162877af7f892021-12-01T00:00:06ZDeep Learning-Aided OFDM-Based Generalized Optical Quadrature Spatial Modulation1943-065510.1109/JPHOT.2021.3129541https://doaj.org/article/448e0a1bed3141e6b0b8162877af7f892022-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9623494/https://doaj.org/toc/1943-0655In this paper, we propose an orthogonal frequency division multiplexing (OFDM)-based generalized optical quadrature spatial modulation (GOQSM) technique for multiple-input multiple-output optical wireless communication (MIMO-OWC) systems. Considering the error propagation and noise amplification effects when applying maximum likelihood and maximum ratio combining (ML-MRC)-based detection, we further propose a deep neural network (DNN)-aided detection for OFDM-based GOQSM systems. The proposed DNN-aided detection scheme performs the GOQSM detection in a joint manner, which can efficiently eliminate the adverse effects of both error propagation and noise amplification. The obtained simulation results successfully verify the superiority of the deep learning-aided OFDM-based GOQSM technique for high-speed MIMO-OWC systems.Chen ChenLin ZengXin ZhongShu FuMin LiuPengfei DuIEEEarticleOptical wireless communicationorthogonal frequency division multiplexingmultiple-input multiple-outputdeep neural networkApplied optics. PhotonicsTA1501-1820Optics. LightQC350-467ENIEEE Photonics Journal, Vol 14, Iss 1, Pp 1-6 (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	Optical wireless communication orthogonal frequency division multiplexing multiple-input multiple-output deep neural network Applied optics. Photonics TA1501-1820 Optics. Light QC350-467
spellingShingle	Optical wireless communication orthogonal frequency division multiplexing multiple-input multiple-output deep neural network Applied optics. Photonics TA1501-1820 Optics. Light QC350-467 Chen Chen Lin Zeng Xin Zhong Shu Fu Min Liu Pengfei Du Deep Learning-Aided OFDM-Based Generalized Optical Quadrature Spatial Modulation
description	In this paper, we propose an orthogonal frequency division multiplexing (OFDM)-based generalized optical quadrature spatial modulation (GOQSM) technique for multiple-input multiple-output optical wireless communication (MIMO-OWC) systems. Considering the error propagation and noise amplification effects when applying maximum likelihood and maximum ratio combining (ML-MRC)-based detection, we further propose a deep neural network (DNN)-aided detection for OFDM-based GOQSM systems. The proposed DNN-aided detection scheme performs the GOQSM detection in a joint manner, which can efficiently eliminate the adverse effects of both error propagation and noise amplification. The obtained simulation results successfully verify the superiority of the deep learning-aided OFDM-based GOQSM technique for high-speed MIMO-OWC systems.
format	article
author	Chen Chen Lin Zeng Xin Zhong Shu Fu Min Liu Pengfei Du
author_facet	Chen Chen Lin Zeng Xin Zhong Shu Fu Min Liu Pengfei Du
author_sort	Chen Chen
title	Deep Learning-Aided OFDM-Based Generalized Optical Quadrature Spatial Modulation
title_short	Deep Learning-Aided OFDM-Based Generalized Optical Quadrature Spatial Modulation
title_full	Deep Learning-Aided OFDM-Based Generalized Optical Quadrature Spatial Modulation
title_fullStr	Deep Learning-Aided OFDM-Based Generalized Optical Quadrature Spatial Modulation
title_full_unstemmed	Deep Learning-Aided OFDM-Based Generalized Optical Quadrature Spatial Modulation
title_sort	deep learning-aided ofdm-based generalized optical quadrature spatial modulation
publisher	IEEE
publishDate	2022
url	https://doaj.org/article/448e0a1bed3141e6b0b8162877af7f89
work_keys_str_mv	AT chenchen deeplearningaidedofdmbasedgeneralizedopticalquadraturespatialmodulation AT linzeng deeplearningaidedofdmbasedgeneralizedopticalquadraturespatialmodulation AT xinzhong deeplearningaidedofdmbasedgeneralizedopticalquadraturespatialmodulation AT shufu deeplearningaidedofdmbasedgeneralizedopticalquadraturespatialmodulation AT minliu deeplearningaidedofdmbasedgeneralizedopticalquadraturespatialmodulation AT pengfeidu deeplearningaidedofdmbasedgeneralizedopticalquadraturespatialmodulation
_version_	1718406199032938496

Deep Learning-Aided OFDM-Based Generalized Optical Quadrature Spatial Modulation

Ejemplares similares