基于AI的5G网络智能优化与自适应调整  

Intelligent Optimization and Adaptive Adjustment of 5G Network Based on AI

作　　者：林秀康 LIN Xiukang(China Information Consulting&Design Institute Co.,Ltd.,Nanjing 210019,China)

机构地区：[1]中通服咨询设计研究院有限公司,江苏南京210019

出　　处：《通信电源技术》2024年第16期167-169,共3页Telecom Power Technology

摘　　要：文章探讨了人工智能(Artificial Intelligence,AI)在5G网络优化与自适应调整中的应用,重点涵盖网络规划与设计、资源分配与管理、网络维护与故障检测等方面。通过数据驱动的优化方法、深度强化学习以及实时数据处理与反馈机制,实现网络性能的显著提升。此外,进一步讨论了动态频谱管理、自适应负载均衡、网络切片动态调整、实时流量预测以及网络资源实时分配等自适应调整技术。This paper discusses the application of Artificial Intelligence(AI)in the optimization and adaptive adjustment of 5G networks,focusing on network planning and design,resource allocation and management,network maintenance and fault detection.Through data-driven optimization method,deep reinforcement learning and real-time data processing and feedback mechanism,the network performance is significantly improved.In addition,the adaptive adjustment technologies such as dynamic spectrum management,adaptive load balancing,dynamic adjustment of network slices,real-time traffic prediction and real-time allocation of network resources are further discussed.

关 键 词：5G网络 人工智能(AI) 智能优化 自适应调整 深度强化学习 实时数据处理 

分 类 号：TN929.5[电子电信—通信与信息系统]