Autoencoder-Based Transceiver Design for OWC Systems in Log-Normal Fading Channel

IEEE Photonics Journal

Ru-Han Chen¹  Zhao-Rui Zhu¹  Hong-Yi Yu¹  Jian Zhang¹ 

[1] National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China;

关键词: Deep learning;    autoencoder (AE);    optical wireless communication (OWC);    log-normal fading;    transceiver design.;   

DOI  :  10.1109/JPHOT.2019.2938231

来源: DOAJ

【 摘 要 】

In this paper, we construct the autoencoder (AE) for optical wireless communication (OWC) systems with non-negativity and peak power constraints, which provides effective transceiver design in log-normal channel. We consider the cases where perfect channel state information (CSI) or noisy CSI can be obtained under three kinds of communication rate, which is defined as the ratio of channel use number to bit number. Meanwhile, we present the block error rate (BLER) performance to further demonstrate our transceivers' superior performance than common model-based methods. The learned constellation points distribution is provided to understand the transmitter's performance. Numerical simulations are conducted to ensure the best convergence. The results indicate that AE-based transceivers can achieve model-based optimal BLER performance or provide significantly better BLER performance.

【 授权许可】

Unknown