机动通信网络性能大数据的区域效能分析与预测

Regional Performance Analysis and Prediction of Mobile Communication Network Performance Big Data

机动通信网络是一种大地域、多类型的移动式通信网络。因受到环境因素、地域因素以及人为因素的干扰,通信网络的规划参数运行后进行评估时常常出现通信效果不理想的情况,给网络规划的任务保障能力带来了极大困扰。经过多方面研究,设计了信号分析与预测系统,通过采集机动通信网络数据信号,并利用大数据分析等技术,提出了机动路线通信决策、机动行进通信保持和干扰源预测分析3种机动通信网络规划及应用方法。该研究合理且高效地解决了机动通信网络信号干扰的问题,为机动通信网络在区域网络规划上展现较高水平提供了新方案。

Mobile communication network is a kind of mobile communication network with multiple types in a large area.Because of the interference by environment,region and human factors,the evaluation of communication network planning parameters after operation often leads to unsatisfactory communication effect,which brings great trouble to the task guarantee ability of network planning.After much research,a signal analysis and prediction system is designed.By collecting data signals of mobile communication network,and using big data analysis technology,three kinds of mobile communication network planning and application methods are proposed,including mobile route communication decision-making,mobile traveling communication maintenance,interference source prediction and analysis.This research reasonably and efficiently solves signal interference problem of mobile communication network,and proposes a new solution for the mobile communication network to show a high level in regional network planning.