Forecasting Competence of Colombian Mobile Communication Network Providers Using Artificial Intelligence Models

Abstract

Cellular networks have become an important part of our society. Every day, we use our cell phones to work, study, or entertain, and users are looking for more bandwidth, lower prices, and quality of service. On the other hand, the providers keep a continuous competition for the market, trying to keep their users or acquire new ones, rethinking the business to make it competitive. It is key to understand the dynamic of the cellular services business and the competence of the operators to adequate it and give the users a better service and experience. This paper focuses on analyzing the market of these services in Colombia with the public data of the providers, using artificial intelligence models to predict future competence and giving a complete knowledge of the cellular service’s behavior in Colombia by measuring the dominance and other competence index like HHI, Linda, and Stenbacka. These indexes are calculated, and some forecasts are made. As a result, an automated model has been developed and can be updated with the latest data published online. Our work shows each provider’s behavior in three main aspects: income, traffic, and number of users, which regulators frequently analyze. The index results show highly concentrated mobile services and a low-competition market. They can be used as a starting point for regulators and providers to measure the changes in regulations or the need for a new one or analyze the market conditions.

Keywords

• Mobile communication
• competence level
• forecasting
• telecommunications regulation
• artificial intelligence