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基于AI的5G网络智能优化与自适应调整

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

5G networkArtificial Intelligence(AI)intelligent optimizationadaptive adjustmentdeep reinforcement learningreal-time data processing

林秀康

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中通服咨询设计研究院有限公司,江苏南京 210019

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

2024

通信电源技术
武汉普天通信设备集团有限公司

通信电源技术

影响因子:0.389
ISSN:1009-3664
年,卷(期):2024.41(16)
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