Beijing University of Posts and Telecommunications/School of Network Education, Beijing, China

---

Abstract—In mobile network, a deviation of cell coverage area influences many network performance indexes. Cell coverage analyses are vital to network optimization. The traditional check method is DT (Drive Test) or FSP (Field Strength Prediction) by manpower which costs much time and resources. This paper presents an intelligent multiple factors analysis method on cell coverage, and designs the relevant software system based on GIS platform. This system derives a cell coverage analysis chart and identifies the cells with cross-boundary coverage or poor coverage problem by collecting a huge number of mobile phone measure data in OMC and analyzing multiple factors based on the measure data and the basic data of cells. The measure data analysis aims to compute signal level distribution, sample point distribution, category of interferences. The basic data of cells includes neighborhood relationship, azimuth ward, location and distance between two cells. The base station site level can be computed from the basic data of cells by the triangulation method. The calculation and analysis results are presented in the map based on GIS platform to improve visualization. This method and system are validated by a large number of actual datasets from an in-service GSM network. Contrast with the traditional cell analysis method, this method and system demonstrate advantages in intelligence, accuracy, timeliness, and visualization.

Index Terms—Mobile network optimization, cell coverage analysis, mobile measure data, signal level distribution, sample point distribution, cell coverage metrics, base station level, OMC (Operation & Maintenance Center), GIS (Geographic Information System)

[PDF]

Cite: Lina Lan, Xuerong Gou, Yunhan Xie, Meng Wu, "Intelligent GSM Cell Coverage Analysis System Based on GIS," Journal of Computers vol. 6, no. 5, pp. 897-904, 2011.