基于信令软采的天线异常智能核查研究

近年来随着LTE基站规模不断增大,大量网络优化工作带来的频繁的天线调整和维护容易引发失误,导致天线异常问题日益增多,而传统人工上天面检查方法需耗费大量人力物力。本文针对现网存在较多天线异常急需核查的迫切问题,从智能手段核查方向开展研究,利用大数据精准定位结合智能分析技术,构建出一套基于信令软采的天线异常智能核查系统,可有效提升核查效率和准确性。

Study of intelligent detection for abnormal antenna condition based on signaling soft acquisition

In recent years, with the increasing size of the LTE base station, the frequent antenna adjustment and maintenance for a lot of network optimization work easily lead to errors, which results in abnormal antenna problems increasing, while the traditional artificial roof inspection methods require a lot of manpower and material resources. This article aimed at the urgent problems of antenna detection, and focused on the direction of the intelligent research for verification means, by using large data precise positioning combined with intelligent analysis technology, and builded a intelligent detection system based on signaling soft acquisition for abnormal antenna condition, which could improve the efficiency and accuracy for detection effectively.