Vers l'auto-gestion d'un r\'eseau de radio cognitive

TL;DR

This paper proposes an autonomous management approach for cognitive radio networks, enabling systems to self-manage and reduce human intervention in case of failures, enhancing reliability and efficiency.

Contribution

It introduces a novel autonomous network management method specifically designed for cognitive radio systems, addressing system failure management.

Findings

Demonstrates improved system resilience to failures

Reduces need for human intervention in network management

Enhances reliability of cognitive radio networks

Abstract

Cognitive Radio (CR) operates in different fields as varied, one of these is cognitive radio networks. In this paper, we propose a new approach used CR, which aims to manage potential failures of computer systems and applications through the introduction of two aspects of autonomous networks to make systems capable of managing themselves with minimum human intervention.