期刊文献+

一种提升城区网格道路5G覆盖率的新方法 被引量:3

A new method to improve 5G coverage of urban grid roads
下载PDF
导出
摘要 城区网格道路是移动通信用户重要的使用场景。与其他用户静止场景相比,道路上UE移动性导致客户感知相对较差。传统城区网格道路测试优化存在整治不彻底、优化效率低、工单重复派、工作无重点等痛点。提出了一种提升城区网格道路5G覆盖率的新方法,引入测试问题圆域的概念,实现了零星测试问题点的有效聚合,并用“聚合度”“重复度”定量标识测试问题优先级;通过测试问题圆域“理想方位角”和“合适小区”的计算,提出了测试问题最优覆盖小区的计算方法,可有效输出问题圆域的优化方案。所提方法已在现网部署,有效支撑了全网城区网格道路测试优化工作,5G覆盖率由89.95%提升到98.86%,应用效果较好。 Urban grid road is an important use scenario for mobile communication users.Compared with other static scenes,UE mobility on the road leads to relatively poor customer perception.The traditional urban grid road test op-timization has some pain points,such as incomplete regulation,low optimization efficiency,repeated work orders,no focus and so on.A new method to improve 5G coverage of urban grid roads was proposed.The proposed method in-troduces the concept of problem circle,realizes the effective aggregation of sporadic test problem points,and uses“aggregation degree”and“repetition degree”to quantitatively identify the priority of test problems.By introducing the concepts of“ideal azimuth”and“appropriate cell”,the method of the optimal coverage cell of the problem circle was proposed,which can effectively output the optimization scheme of the problem circle.This method has been deployed in the current network and effectively supports the test and optimization of urban grid roads.The 5G cov-erage rate has increased from 89.95%to 98.86%.
作者 张叶江 陈捷 胡坚 杨晓康 陆赟 梁腾 ZHANG Yejiang;CHEN Jie;HU Jian;YANG Xiaokang;LU Yun;LIANG Teng(Wireless Optimization Center of China Mobile Communication Group Yunnan Co.,Ltd.,Kunming 650041,China;Honghe Vocational and Technical College,Honghe 661199,China;Yunnan Communications Vocational and Technical College,Kunming 650500,China)
出处 《电信科学》 2022年第12期94-102,共9页 Telecommunications Science
关键词 网格道路 5G覆盖率 问题圆域 合适小区 理想方位角 最优小区 grid road 5G coverage rate problem circle appropriate cell ideal azimuth optimal cell
  • 相关文献

参考文献14

二级参考文献81

共引文献137

同被引文献27

引证文献3

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部