Abstract

We develop a novel cell coverage estimation method based on radio fingerprints collected from practical wireless service systems. A large size radio fingerprint map that shows cell identifiers and signal strength measurements on grid segmentation is built for effective estimation of cell coverage. An essential part of cell coverage estimation is radio fingerprint data cleansing and compensation. Based on this proposed iterative fingerprint data analysis method, we detect the proper cell borderline for each cell site. By the proposed method, we can efficiently estimate the cell coverage of each cell site without difficult manual field measurements. Moreover, mobile service providers can economically plan network configuration and manage subscribers using these advances in cell coverage estimation.

Highlights

  • Accurate estimate of cell coverage is essential for cellular network design and deployment

  • 4 Numerical results To test the proposed method, we developed a cell coverage estimation program which has a map of an urban (Gangnam) area in South Korea

  • 5 Conclusions In this paper, we dealt with cell coverage estimation

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Summary

Introduction

Accurate estimate of cell coverage is essential for cellular network design and deployment. We propose a novel cell coverage estimation method using radio fingerprint data. The data compensation method can keep fingerprint data integrity and confirm the proper cell borderline for effective cell coverage estimation. The proposed cell coverage estimation uses the radio fingerprint map to overcome the limitations of beam lobe estimation and manual signal tracking.

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