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 wireless communication (MIMO-OWC) systems. Considering the error propagation and noise amplification effects when applying maximum likelihood ratio combining (ML-MRC)-based detection, further a deep neural network (DNN)-aided detection OFDM-based GOQSM The proposed DNN-aided scheme performs in joint manner, which can efficiently eliminate adverse of both amplification. obtained simulation results successfully verify superiority learning-aided high-speed MIMO-OWC