摘要
为摆脱NB-IoT网络仅能依靠传统路测进行覆盖评估的现状,根据中国电信NB-IoT与L800M网络同频段共设备的特点,通过Okumura-Hata传播模型推导及大量实测验证,确定了两者信号的折算算法,并实现基于LTE海量MR数据的NB-IoT网络评估自动化。该方法极大地节约了网络运维成本,能支撑物联网业务发展。
Since China Telecom’s NB-Io T and L800 M networks shares the same band and equipment,this paper determines the conversion algorithm for NB-IoT and L800 signals by the Okumura-Hata propagation model and extensive field test verification.Furthermore,the automatic evaluation for NB-Io T network is realized based on the LTE massive MR data.It enables NB-IoT network to get rid of traditional drive tests for coverage assessment.Hence,the network operation and maintenance cost is greatly reduced and the development of IoT services is well supported.
作者
蔡文峰
刘从柏
杨健恒
CAI Wenfeng;LIU Congbai;YANG Jianheng(Guangdong Wireless Network Optimization Center of China Telecom Co.,Ltd.,Guangzhou 510630,China)
出处
《移动通信》
2019年第12期53-55,60,共4页
Mobile Communications
关键词
窄带物联网
MR
覆盖评估
narrow band Internet of Things
MR
coverage assessment
