摘要
5G网络已成熟商用,但是其能效问题一直影响着5G发展,MassiveMIMO技术是提升网络覆盖、用户体验和系统容量的核心技术,可作为提升5G网络能效的一种手段。开展了基于蚁群算法的迭代寻优算法的研究,解决海量MIMO参数组合最优解迭代问题。同时构建了基于数字孪生技术的功率优化模型,实现5G网络能效的优化。模型实验和现网验证结果显示:该算法能够达到预期效果,为后续基站的能效优化和MIMO智慧优化演进提供参考。
5G network has been mature for commercial use,but the energy efficiency problems have been puzzling the development of 5G.Massive MIMO technology is the core technology of 5G to improve network coverage,user experience and system capacity.It can be used as a means to improve 5G network energy efficiency.Therefore,an iterative optimization algorithm based on ant colony algorithm is developed to solve the iterative problem of the combinatorial optimization of massive MIMO parameters,and a power optimization model based on digital twinning technology is constructed to realize the energy efficiency optimization of 5G networks.The results of the model experiment and on-line verification,the algorithm can achieve the expected results,which provides a reference for future base station energy efficiency optimization and MIMO intelligent optimization evolution.
作者
吴远
郝佳佳
朱文涛
王西点
张晨曦
Wu Yuan;Hao Jiajia;Zhu Wentao;Wang Xidian;Zhang Chenxi(China Mobile Communications Group Design Institute ang Branch,Hangzhou 310020,China;China Mobile Communication Group Design Institute Co.,Ltd.,Beijing 100080,China)
出处
《邮电设计技术》
2024年第7期56-59,共4页
Designing Techniques of Posts and Telecommunications
作者简介
吴远,工程师,学士,主要从事4G/5G网络研究、通信网优化、软件平台开发工作;郝佳佳,助理工程师,硕士,主要从事MassiveMIMO、人工智能等算法和应用研究工作;朱文涛,高级工程师,硕士,主要从事4G/5G天馈系统优化及网优仪表研发及应用工作;王西点,教授级高级工程师,硕士,主要研究方向为移动通信无线网、人工智能算法应用等;张晨曦,工程师,硕士,主要从事4G/5G天馈系统优化及网优仪表研发及应用工作。
