2D Generalized Optical Spatial Modulation for MIMO-OWC Systems
In this paper, a novel two-dimensional (2D) generalized optical spatial modulation (GOSM) scheme is proposed for multiple-input multiple-output optical wireless communication (MIMO-OWC) systems. By grouping multiple successive time slots as one time block, 2D GOSM mapping can be performed not only i...
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IEEE
2022-01-01
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Series: | IEEE Photonics Journal |
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Online Access: | https://ieeexplore.ieee.org/document/9836989/ |
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author | Chen Chen Lin Zeng Xin Zhong Shu Fu Zhihong Zeng Min Liu Harald Haas |
author_facet | Chen Chen Lin Zeng Xin Zhong Shu Fu Zhihong Zeng Min Liu Harald Haas |
author_sort | Chen Chen |
collection | DOAJ |
description | In this paper, a novel two-dimensional (2D) generalized optical spatial modulation (GOSM) scheme is proposed for multiple-input multiple-output optical wireless communication (MIMO-OWC) systems. By grouping multiple successive time slots as one time block, 2D GOSM mapping can be performed not only in the space domain but also in the time domain. Specifically, two types of 2D GOSM mapping schemes are designed, including 2D-1 and 2D-2 GOSM mappings. Moreover, to address the high complexity issue of optimal joint maximum-likelihood (ML) detection and the noise amplification and error propagation issues of zero-forcing-based ML (ZF-ML) detection, a deep neural network (DNN)-aided detection scheme is further designed for 2D GOSM systems. Simulation results demonstrate the superiority of the proposed 2D GOSM scheme with deep learning-aided detection for high-speed and low-complexity MIMO-OWC systems. More specifically, a remarkable 3.4-dB signal-to-noise ratio (SNR) gain can be achieved by 2D GOSM in comparison to the conventional one-dimensional (1D) GOSM, when applying the DNN-aided detection. |
first_indexed | 2024-12-10T17:19:26Z |
format | Article |
id | doaj.art-53b9dfae0aca479dac1c13ff22a3d288 |
institution | Directory Open Access Journal |
issn | 1943-0655 |
language | English |
last_indexed | 2024-12-10T17:19:26Z |
publishDate | 2022-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Photonics Journal |
spelling | doaj.art-53b9dfae0aca479dac1c13ff22a3d2882022-12-22T01:40:02ZengIEEEIEEE Photonics Journal1943-06552022-01-011441610.1109/JPHOT.2022.319265198369892D Generalized Optical Spatial Modulation for MIMO-OWC SystemsChen Chen0https://orcid.org/0000-0003-2541-6283Lin Zeng1Xin Zhong2Shu Fu3https://orcid.org/0000-0002-7988-9724Zhihong Zeng4https://orcid.org/0000-0001-6735-811XMin Liu5Harald Haas6https://orcid.org/0000-0001-9705-2701School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, ChinaSchool of Microelectronics and Communication Engineering, Chongqing University, Chongqing, ChinaSchool of Microelectronics and Communication Engineering, Chongqing University, Chongqing, ChinaSchool of Microelectronics and Communication Engineering, Chongqing University, Chongqing, ChinaLiFi Research and Development Centre, Institute for Digital Communications, The University of Edinburgh, Edinburgh, U.K.School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, ChinaTechnology Innovation Centre and Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, U.K.In this paper, a novel two-dimensional (2D) generalized optical spatial modulation (GOSM) scheme is proposed for multiple-input multiple-output optical wireless communication (MIMO-OWC) systems. By grouping multiple successive time slots as one time block, 2D GOSM mapping can be performed not only in the space domain but also in the time domain. Specifically, two types of 2D GOSM mapping schemes are designed, including 2D-1 and 2D-2 GOSM mappings. Moreover, to address the high complexity issue of optimal joint maximum-likelihood (ML) detection and the noise amplification and error propagation issues of zero-forcing-based ML (ZF-ML) detection, a deep neural network (DNN)-aided detection scheme is further designed for 2D GOSM systems. Simulation results demonstrate the superiority of the proposed 2D GOSM scheme with deep learning-aided detection for high-speed and low-complexity MIMO-OWC systems. More specifically, a remarkable 3.4-dB signal-to-noise ratio (SNR) gain can be achieved by 2D GOSM in comparison to the conventional one-dimensional (1D) GOSM, when applying the DNN-aided detection.https://ieeexplore.ieee.org/document/9836989/Deep learningmultiple-input multiple-outputOptical wireless communication |
spellingShingle | Chen Chen Lin Zeng Xin Zhong Shu Fu Zhihong Zeng Min Liu Harald Haas 2D Generalized Optical Spatial Modulation for MIMO-OWC Systems IEEE Photonics Journal Deep learning multiple-input multiple-output Optical wireless communication |
title | 2D Generalized Optical Spatial Modulation for MIMO-OWC Systems |
title_full | 2D Generalized Optical Spatial Modulation for MIMO-OWC Systems |
title_fullStr | 2D Generalized Optical Spatial Modulation for MIMO-OWC Systems |
title_full_unstemmed | 2D Generalized Optical Spatial Modulation for MIMO-OWC Systems |
title_short | 2D Generalized Optical Spatial Modulation for MIMO-OWC Systems |
title_sort | 2d generalized optical spatial modulation for mimo owc systems |
topic | Deep learning multiple-input multiple-output Optical wireless communication |
url | https://ieeexplore.ieee.org/document/9836989/ |
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