Research on Performance Improvement Strategy of Optical Fiber Communication Network Based on Deep Learning
With the coming of the information age,optical fiber communication network is the main medium of high-speed data transmission,and its performance optimization is very important to meet the increasing network demand.This paper presents a systematic review and in-depth analysis of deep learning technology in improving the performance of optical fiber communication networks,focusing on several key challenges faced by optical fiber communication networks,including complex network topologies,dynamic traffic characteristics,channel nonlinear effects under advanced modulation formats,and fault detection and location problems.Combined with the strong ability of deep learning in data processing and pattern recognition,a series of performance improvement strategies based on deep learning are described.This review aims to reveal the significant value of deep learning to improve the performance of optical fiber communication networks,and provide a comprehensive and in-depth theoretical reference for further research and practice in this field.
deep learningoptical fiber communicationnetwork performance improvement
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