摘要
当前5G室分建设存在投资上限,而部分楼宇在室内外资源上协同性不高,宏微资源投放重复,室分建设能效过低。在楼宇深度覆盖评估方法上依赖人工程度高和自动化程度低,如何快速提高楼宇室分建设能效问题成为当前工作重点之一。本文使用4G/5GMDT测量数据和建筑物电子地图信息,结合4G/5G工参,通过建立5G室内穿损模型与4G/5G室外覆盖差异模型,形成基于AI的5G宏站覆盖室内能效分析系统,高效精准地评估楼宇深度覆盖问题,使得网络资源投放有的放矢,实现室分能效的最大化。
At present,there is an upper limit on investment in 5G sub room construction,while some buildings are not highly cooperative in indoor and outdoor resources,macro and micro resources are put into duplicate,and the energy efficiency of sub room construction is too low.In terms of building depth coverage assessment methods,the degree of dependence on manual work is high,and the degree of automation is low.How to quickly improve the energy efficiency of building sub construction has become one of the current priorities.In this paper,4G/5G MDT measurement data and building electronic map information are used,combined with 4G/5G project parameters,through establishing 5G indoor wear model and 4G/5G outdoor coverage difference model,an AI based 5G macro station coverage indoor energy efficiency analysis system is formed,which can efficiently and accurately evaluate the building depth coverage,so that the network resources can be targeted,and maximize the room energy efficiency.
作者
韩喆
张晨
李志勇
孙琛
韦文仁
HAN Zhe;ZHANG Chen;LI Zhi-yong;SUN Chen;WEI Wen-ren(China Mobile Group Guangdong Co.,Ltd.,Guangzhou 510623,China;China Mobile Design Institute Co.,Ltd.,Beijing 100080,China;China Mobile Group Design Institute Co.,Ltd.Guangdong Branch,Guangzhou 510623,China)
出处
《电信工程技术与标准化》
2023年第4期44-50,共7页
Telecom Engineering Technics and Standardization
关键词
楼宇评估
AI算法
智能规划
building evaluation
AI algorithm
intelligent planning