A New Transceiver Design for Protograph LDPC-Coded LACO-OFDM VLC Systems with Deep Learning
IEEE Communications Letters
As a spectral-efficient and transmission-reliable technique, channel coded layered asymmetrically clipped optical orthogonal frequency-division multiplexing (LACO-OFDM) has attracted considerable interest in visible light communications. In this paper, we investigate the protograph low-density parity-check (LDPC)-coded LACO-OFDM VLC systems. Specially, we design a novel type of interleaving scheme, referred to as “variable-node subcarrier matched mapping (VNSMM)” to optimize the performance of protograph-coded LACO-OFDM VLC systems. In such scenario, the conventional iterative detection framework cannot completely eliminate the inter-layer interference (ILI), which degrades the system performance. To further suppress the ILI at the receiver, we propose a deep learning (DL)-based detection framework, called “DeepLACO”, to simultaneously obtain the log-likelihood ratios (LLRs) used for the protograph decoders in all layers without the knowledge of channel state information (CSI). Analyses and simulations demonstrate that the protograph-coded LACO-OFDM exploiting the proposed interleaving scheme and detection framework can achieve excellent performance in VLC systems.
Codes, Decoding, deep learning, layered asymmetrically clipped optical orthogonal frequency-division multiplexing, Light emitting diodes, OFDM, Optical receivers, protograph LDPC codes, Symbols, Visible light communication, Visible light communication
L. Dai, Y. Fang, P. Chen, G. Zhang and M. Guizani, "A New Transceiver Design for Protograph LDPC-Coded LACO-OFDM VLC Systems With Deep Learning," in IEEE Communications Letters, vol. 27, no. 3, pp. 896-900, March 2023, doi: 10.1109/LCOMM.2022.3233628.