An orthogonal frequency division multiplexing (OFDM) based Autoencoder (AE) model for optical wireless communication (OWC) is implemented. Symbol-error performance demonstrates the viability of using neural networks (NNs) and deep learning (DL) techniques in OWC systems.

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