Intelligent Network Management and Control

9Artificial Intelligence Application to Cognitive Radio Networks

Badr BENMAMMAR and Asma AMRAOUI

Abou Bekr Belkaid University, Tlemcen, Algeria

9.1. Introduction

In wireless networks, field resources in terms of frequency and bandwidth availability are increasingly scarce. Consequently, new solutions are required to minimize the energy consumption and optimize the allocation of radio resources.

For flexible access to the spectrum, Mitola and Maguire (1999) introduced cognitive radio (CR) relying on software-defined radio. Software-defined radio is a radio that can realize in software form the typical functions of the radio interface generally realized in a hardware form, such as the carrier frequency, signal bandwidth and modulation. Indeed, Mitola and Maguire (1999) combined their software-defined radio experiences, as well as their passions for machine learning (ML) and artificial intelligence (AI) to set up CR technology. According to Mitola (2000), a CR is able to know, perceive and learn from its environment, and then act in order to simplify the user’s life. In 2005, Haykin (2005) reviewed the concept of CR and dealt with it as brain-empowered wireless communication.

CR is a technology that detects the environment, analyzes its transmission parameters, and then makes the decisions related to resource allocation and management. However, the formulations of optimization for resource allocation offer optimal solutions sometimes at the expense of the computing time and the ...