Distributed Detection in Cognitive Radio Networks: Recent Developments

Abstract

With the increase of wireless services and devices, and the need to maintain their QoS requirements, the demand for spectral bandwidth has increased in recent years. The traditional spectrum allocation techniques have led to inef?cient spectrum utilisation. In this project, we analyse a new paradigm called Dynamic Spectrum Access , using energy detection methods in case of real-valued and complex-valued signals. An energy ef?cient detection is also proposed in a distributed cognitive network for the case of a single SU and N PUs, where N > 1. The cognitive radio network also has to pay a cost whenever a SU switches a channel. In this scenario, detection algorithms are also proposed absed on myopic approach.