The Simulation-Based Smart Management Approach for Cellular Network Operation and Planning

Abstract

The number of mobile users in the world has been steadily increasing for last decades and is anticipated to continue its growth by the end to 2019 up to more than 5 billion users. This process brings new challenges to the telecom companies over the globe and to the cellular network infrastructures. The problem (dead) zones and dropped calls are now among the most critical issues that mobile providers tend to solve, while trying to increase the quality of service at the same time. The paper discusses modeling approaches to the cellular network's problem zones detection and analysis, on the basis of complaints, subscribers and base stations data aggregation and analysis. We describe algorithms to be used in building Heat Map geo-spatial visualizations of cellular network data, which show the distribution of problem zones within the network with their corresponding weights assigned according to the amount of complaints and population density in the area. This information is used in prioritization of distributed problem zones for the cellular network development and decision support on new base station deployment. It means that simulation-based approaches to problem zone detection and fixation in cellular network can help to increase the customer satisfaction of connection level and quality of mobile service. In addition, the paper presents the evaluation of economic effect of solving the problem zone issue that follows the subscriber traffic increase.

Electronic Document as a Tool of Digital Economy

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