基于人工智能的光通信系统自适应调制技术研究  

Research on Adaptive Modulation Technology of Optical Communication System Based on Artificial Intelligence

作　　者：乐文忠 LE Wenzhong(Shenzhen Longgang District Big Data Centre,Shenzhen,Guangdong 518117,China)

机构地区：[1]深圳市龙岗区大数据中心,广东深圳518117

出　　处：《移动信息》2024年第7期26-28,共3页MOBILE INFORMATION

摘　　要：光通信系统因高速度、大容量的传输优势而成为数据交换的关键技术。自适应调制技术作为提高光通信系统效率和可靠性的重要手段,根据信道条件动态调整调制方式,以优化传输性能。近年来,人工智能,特别是深度学习的快速发展,为自适应调制技术提供了新的研究视角和方法,使得调制策略更加智能化和高效。文中综合介绍了光通信系统的基本组成和工作原理,阐述了人工智能特别是深度学习的基础理论,并探讨了如何将人工智能技术应用于光通信系统的自适应调制技术中,包括利用神经网络模型和学习算法优化调制策略,最后通过技术测试验证了所提方法的有效性和优越性。Optical communication systems have become a key technology for data exchange due to their high speed and large capacity transmission advantages.Adaptive modulation technology,as an important means to improve the efficiency and reliability of optical communication systems,dynamically adjusts modulation methods based on channel conditions to optimize transmission performance.In recent years,the rapid development of artificial intelligence,especially deep learning,has provided new research perspectives and methods for adaptive modulation technology,making modulation strategies more intelligent and efficient.This paper comprehensively introduces the basic composition and working principle of optical communication systems,elaborates on the basic theory of artificial intelligence,especially deep learning,and discusses in detail how to apply artificial intelligence technology to adaptive modulation technology in optical communication systems,including optimizing modulation strategies using neural network models and learning algorithms.Finally,the effectiveness and superiority of the proposed method are verified through technical testing.

关 键 词：人工智能 光通信系统 自适应调制技术 

分 类 号：TN929.1[电子电信—通信与信息系统]