Optimized Spectrum Selection through Instantaneous Channels Characteristics Evaluation in Cognitive Radio

The key idea to spectrum decision in Cognitive Radio Networks (CRN) is the selection of the best available spectrum band to satisfy Secondary Users (SUs) Quality of Service (QoS) requirements, without interfering with transmission of the licensed or Primary Users (PU). This challenging task requires a very good cooperation between users with different demands for the best use of spectrum channels of different characteristics in a heterogeneous network. In this paper we propose a linear optimization spectrum selection algorithm based on the evaluation of different channels characteristics and a linear optimization solution to ensure the selection of the best available spectrum satisfying the demands of the Secondary Users. The simulation results show that this approach ensures both the best transmission throughput and the transmission quality of service.