随着5G网络部署进程加速,频谱资源竞争加剧,网络覆盖质量已成为运营商核心竞争力的关键指标。本研究以湖北省移动通信网络为研究对象,针对FDD900频段利用率低、站址资源受限及4G投资停滞等现实挑战,提出基于MDT(Minimization of Drive T...随着5G网络部署进程加速,频谱资源竞争加剧,网络覆盖质量已成为运营商核心竞争力的关键指标。本研究以湖北省移动通信网络为研究对象,针对FDD900频段利用率低、站址资源受限及4G投资停滞等现实挑战,提出基于MDT(Minimization of Drive Tests Data,最小化路测数据)的竞对网络覆盖分析框架。通过构建50×50米栅格化分析模型,结合DBSCAN聚类算法与六因九法优化体系,实现了问题区域的精准定位与分级处理。实验表明,该方法使湖北省移动网络FDD覆盖率提升1.5个百分点,TDD覆盖率提升2.2个百分点,竞对小区劣势比例下降0.53pp,具备良好的工程实践价值。展开更多
Self-organizing network(SON)and minimization of driver tests(MDT)are functions designed for Long Term Evolution(LTE)system.SON is designed for network deployment by automatic configuration.MDT is designed for network ...Self-organizing network(SON)and minimization of driver tests(MDT)are functions designed for Long Term Evolution(LTE)system.SON is designed for network deployment by automatic configuration.MDT is designed for network performance evaluation by automatic signalling procedure.However,these functions do not support new features in new radio(NR)access technology,e.g.,multiple radio access technology(RAT)-dual connectivity(MR-DC),central unit-distribute unit(CU-DU)split architecture,beam,etc.Therefore,how to support these features is a challenge for the industry.This paper provides analysis for these problems and provides the summary of SON/MDT functions progress in3 GPP.The analysis includes sub functions such as inter/intra system mobility robustness enhancement,inter/intra system mobility load balance,measurement qualities and mechanism of MDT,energy saving mechanism and procedure,RACH procedure optimization,PCI selection optimization,coverage and capacity optimization,and quality of service(QoS)monitoring mechanism.In addition,this paper also provides an initial thought on artificial intelligence(AI)algorithms applied to SON/MDT functions in NR,so called Smart Grid.展开更多
文摘随着5G网络部署进程加速,频谱资源竞争加剧,网络覆盖质量已成为运营商核心竞争力的关键指标。本研究以湖北省移动通信网络为研究对象,针对FDD900频段利用率低、站址资源受限及4G投资停滞等现实挑战,提出基于MDT(Minimization of Drive Tests Data,最小化路测数据)的竞对网络覆盖分析框架。通过构建50×50米栅格化分析模型,结合DBSCAN聚类算法与六因九法优化体系,实现了问题区域的精准定位与分级处理。实验表明,该方法使湖北省移动网络FDD覆盖率提升1.5个百分点,TDD覆盖率提升2.2个百分点,竞对小区劣势比例下降0.53pp,具备良好的工程实践价值。
文摘Self-organizing network(SON)and minimization of driver tests(MDT)are functions designed for Long Term Evolution(LTE)system.SON is designed for network deployment by automatic configuration.MDT is designed for network performance evaluation by automatic signalling procedure.However,these functions do not support new features in new radio(NR)access technology,e.g.,multiple radio access technology(RAT)-dual connectivity(MR-DC),central unit-distribute unit(CU-DU)split architecture,beam,etc.Therefore,how to support these features is a challenge for the industry.This paper provides analysis for these problems and provides the summary of SON/MDT functions progress in3 GPP.The analysis includes sub functions such as inter/intra system mobility robustness enhancement,inter/intra system mobility load balance,measurement qualities and mechanism of MDT,energy saving mechanism and procedure,RACH procedure optimization,PCI selection optimization,coverage and capacity optimization,and quality of service(QoS)monitoring mechanism.In addition,this paper also provides an initial thought on artificial intelligence(AI)algorithms applied to SON/MDT functions in NR,so called Smart Grid.
