面向5G的无线网络节能技术研究  

Research on Energy Saving Technology for 5G Oriented Wireless Networks

作　　者：侯平 HOU Ping(China Mobile Communications Group Hebei Co.,Ltd.,Shijiazhuang 050000,China)

机构地区：[1]中国移动通信集团河北有限公司,石家庄050000

出　　处：《移动信息》2024年第5期1-3,共3页MOBILE INFORMATION

摘　　要：5G技术的广泛应用,引发了社会对其高能耗问题的关注。文中旨在探讨面向5G的无线网络节能技术,以解决当前网络面临的能源挑战。通过对5G网络能耗瓶颈的分析,首先剖析了高密度小区、高频段信号传输和大规模MIMO系统面临的能源挑战。接着,全面审视了现有的无线网络节能技术,涵盖功率控制、网络优化策略、设备级节能技术等。在此基础上,提出了面向5G的新型无线网络节能技术,包括基于机器学习的网络优化、智能天线设计、应用可再生能源等方案。最后,深入讨论了复杂网络环境下的技术挑战,包括设备协同、跨尺度节能优化等。通过对这一研究领域的全面论述,希望能为5G网络的可持续发展提供支持。The wide application of 5G technology has aroused society̓s attention to its high energy consumption problem.This paper aims to deeply explore the energy-saving technologies of wireless networks for 5G to solve the energy challenges faced by the current network.Through a detailed analysis of the energy consumption bottlenecks of 5G networks,the energy challenges faced by high-density cells,high-band signal transmission and large-scale MIMO systems are first analyzed.Then,the existing wireless network energy-saving technologies are comprehensively reviewed,covering power control,network optimization strategies,and device-level energy-saving technologies.On this basis,new wireless network energy-saving technologies for 5G are proposed,including network optimization based on machine learning,smart antenna design,and application of renewable energy.Finally,the technical challenges in the complex network environment are discussed in depth,including device collaboration,cross-scale energy-saving optimization,etc.Through a comprehensive discussion of this research field,it is hoped to provide support for the sustainable development of 5G networks.

关 键 词：5G网络 节能技术 网络能耗 机器学习 智能天线 可再生能源 6G技术 网络虚拟化 边缘计算 

分 类 号：TN929.5[电子电信—通信与信息系统]