中国激光, 2020, 47 (11): 1106005, 网络出版: 2020-11-02
基于Wasserstein生成对抗网络的智能光通信 下载: 731次
Intelligent Optical Communication Based on Wasserstein Generative Adversarial Network
光通信 端到端学习系统 生成对抗网络 Wasserstein生成对抗网络 optical communications end-to-end learning system generative adversarial network Wasserstein generative adversarial network
摘要
首先介绍激光链路通信的优势,然后介绍基于生成对抗网络(GAN)的端到端通信学习系统,提高了通信系统的实时性与全局优化性。针对传统GAN在训练与应用中模式坍塌和训练不稳定的问题,引入Wasserstein生成对抗网络进行改进。最后将Wasserstein生成对抗网络应用于端到端通信系统中。实验结果表明,Wasserstein生成对抗网络可以对加性高斯白噪声信道和对数正态信道进行有效模拟,且解决了传统GAN训练不稳定和模式坍塌的问题。
Abstract
This study introduces an end-to-end communication learning system based on a generative adversarial network (GAN) after discussing the advantages of laser link communication. This improves the real-time and global optimization of the communication system. Moreover, this study introduces the Wasserstein GAN to resolve mode collapse and training instability in the training and application of a traditional GAN. Finally, the Wasserstein GAN is applied to the end-to-end communication system, and the experimental results show that the Wasserstein GAN can effectively simulate an additive Gaussian white noise channel and a lognormal channel, thus avoiding the training instability and mode collapse of the traditional GAN.
牟迪, 蒙文, 赵尚弘, 王翔, 刘文亚. 基于Wasserstein生成对抗网络的智能光通信[J]. 中国激光, 2020, 47(11): 1106005. Mu Di, Meng Wen, Zhao Shanghong, Wang Xiang, Liu Wenya. Intelligent Optical Communication Based on Wasserstein Generative Adversarial Network[J]. Chinese Journal of Lasers, 2020, 47(11): 1106005.