基于Massive MIMO的5G基站能效优化研究
Research on 5G Base Station Energy Efficiency Optimization Based on Massive MIMO
吴远 1郝佳佳 1朱文涛 2王西点 2张晨曦2
作者信息
- 1. 中国移动通信集团设计院有限公司浙江分公司,浙江杭州 310020
- 2. 中国移动通信集团设计院有限公司,北京 100080
- 折叠
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,Massive MIMO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.
Abstract
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.
关键词
能效优化/数字孪生/Massive/MIMO/蚁群算法Key words
Energy efficiency optimization/Digital twin/Massive MIMO/Ant colony algorithm引用本文复制引用
出版年
2024
NETL
NSTL
万方数据