Intelligent Network Management and Control

3Network Optimization using Artificial Intelligence Techniques

Asma AMRAOUI and Badr BENMAMMAR

Abou Bekr Belkaid University, Tlemcen, Algeria

3.1. Introduction

The telecommunications field has greatly progressed in recent years due to the booming markets of mobile phones and Internet and the deployment of broadband networks and intelligent networks. Thanks to these developments, network environments have become more complex, as they permanently process a huge amount of information; this renders network management very difficult.

Communication services providers must currently meet increasing customer demands for better quality services and better customer experience. Telecommunication companies seize these opportunities and are taking advantage of the large amount of data collected throughout the years from their broad customer base. These data are extracted from equipment, networks, mobile applications, geolocalizations and detailed customer profiles.

In order to process and analyze such huge volumes of data and extract useful information, telecommunication companies take advantage of artificial intelligence (AI) to provide better customer experience, improve operations and increase company revenues with new products and services.

Indeed, AI can help identify the anomalies and proactively solve the problems before they affect customers, and hence optimize the network. Network optimization, predictive maintenance and virtual assistants are examples of cases in which AI had ...