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Deep Learning-Aided OFDM-Based Generalized Optical Quadrature Spatial Modulation
- Source :
- IEEE Photonics Journal, 2022
- Publication Year :
- 2021
-
Abstract
- 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.
- Subjects :
- Electrical Engineering and Systems Science - Signal Processing
Subjects
Details
- Database :
- arXiv
- Journal :
- IEEE Photonics Journal, 2022
- Publication Type :
- Report
- Accession number :
- edsarx.2106.12770
- Document Type :
- Working Paper
- Full Text :
- https://doi.org/10.1109/JPHOT.2021.3129541