基于LightGBM算法的5G无线网覆盖预测方法研究
Research on 5G Wireless Network Coverage Prediction Method Based on LightGBM Algorithm
陈坚1
作者信息
- 1. 中国移动通信集团广西有限公司,广西 南宁 530028
- 折叠
摘要
基于射线仿真评估是5G无线网规划选址常用方法,但该方法的评估依据是射线传播仿真结果,缺少实际数据来做建模验证,与实际覆盖情况有较大偏差.该文研究人工智能技术在5G无线网规划选址方面的创新应用,提出了一种基于LightGBM算法的覆盖预测方法,可以更准确地预测小区栅格的覆盖场强,显著提高5G无线网规划选址的精准度.
Abstract
Based on ray simulation evaluation,it is a commonly used method for 5G wireless network planning and site selection.However,the evaluation of this method is based on the results of ray propagation simulation,which lacks actual data for modeling and verification,and has a significant deviation from the actual coverage situation.This article studies the innovative application of artificial intelligence technology in the planning and location selection of 5G wireless networks,and proposes a coverage prediction method based on the LightGBM algorithm,which can more accurately predict the coverage field strength of small grid cells and significantly improve the accuracy of 5G wireless network planning and location selection.
关键词
人工智能/LightGBM算法/5G无线网规划/覆盖预测Key words
artificial intelligence/lightGBM algorithm/5G wireless network planning/coverage prediction引用本文复制引用
出版年
2024
NETL
NSTL
万方数据