基于R语言和大数据的室分弱覆盖分析方法及工具

随着LTE的推广及应用,深度覆盖率已成为影响用户感知的关键指标之一.由于网络的复杂性及资源限制,仅靠人力很难精准高效地定位导致室分弱覆盖的问题点及其原因.针对这个问题,本文提出了一种基于R语言和大数据的自动分析工具,结合工参分析全网MR数据特征、参数和零话务数据,可输出室分弱覆盖小区清单及包含了故障类型判定、参数核查和周边零话务小区核查的整改初步方案,并通过GIS呈现,为后期现场排查提供了准确方向与指导.

A Weak Coverage Analysis Method and tool based on R Language and Big Data

With the promotion and usage of LTE,the depth coverage has becoming one of the key indicators of user perceptions.However,due to the complexity of networks and the resource constraints,it’s diffi cult to identify the pain points and causes efficiently and accurately.To solve this problem,we propose an automatic analysis tool based on R language and the big data,which could obtain the list of weak coverage cells and the corresponding preliminary solutions including the malfunction type verifi cation,parameter verifi cation and peripheral zero traffi c cells verifi cation.With GIS presentation,the proposed tool would provide accurate direction for the following on-site inspection.