NB-IoT网络上行干扰排查与智能软件实现

NB-IoT Uplink Interference Troubleshooting and Intelligent Software Implementation

目前,窄带物联网(Narrow Band Internet of Things,NB-IoT)使用频带窄,极容易受到内外各类干扰影响,引起信号质量波动,进而导致物联终端耗电大幅增加,抵消了NB-IoT原有低功耗的优势。由于识别NB-IoT干扰因素以及形成的具体原因需消耗大量人力物力,因此基于NB-IoT上行干扰特性,结合全球移动通信系统(Global System for Mobile Communication,GSM)、频分双工(Frequency Division Duplexing,FDD)系统性能关键绩效指标(Key Performance Indicator,KPI),并采用Python语言编程自动分析,智能识别出NB-IoT网络干扰类型,指导现场干扰排查工作。

At present,Narrow Band Internet of Things(NB-IoT)uses a narrow frequency band,and it is extremely vulnerable to various internal and external interference,which causes signal quality fluctuation,and leads to a significant increase in power consumption of IoT terminals,offsetting the original advantages of low power consumption of NB-IoT.Because it takes a lot of manpower and material resources to identify the NB-IoT interference factors and the specific causes,based on the nB-iot upstream interference characteristics,combined with the Global System for Mobile Communication,(GSM)and Frequency Division Duplexing(FDD)system Key Performance Indicator(KPI)of using Python language programming automatic analysis,intelligently identify interference types on the NB-IoT network and guide on-site interference troubleshooting.