Transforming Next-generation Network Planning assisted by Data Acquisition of Top Three Spanish MNOs

TL;DR

This paper leverages real data from Spain's top three mobile network operators to improve 5G network planning by analyzing traffic patterns and identifying optimal deployment areas, enhancing efficiency and cost-effectiveness.

Contribution

It introduces a novel data acquisition and cleaning procedure using real MNO data to inform 5G network planning and deployment strategies.

Findings

Traffic density patterns identified for optimal gNB deployment

Database cleaning improves data quality for network analysis

Method enhances network planning accuracy and cost efficiency

Abstract

In this paper, we address the necessity of data related to mobile traffic of the legacy infrastructure to extract useful information and perform network dimensioning for 5G. These data can help us achieve a more efficient network planning design, especially in terms of topology and cost. To that end, a real open database of top three Spanish mobile network operators (MNOs) is used to estimate the traffic and to identify the area of highest user density for the deployment of new services. We propose the data acquisition procedure described to clean the database, to extract meaningful traffic information and to visualize traffic density patterns for new gNB deployments. We present the state of the art in Network Data. We describe the considered network database in detail. The Network Data Acquisition entity along with the proposed procedure is explained. The corresponding results are discussed, following the conclusions.