Performance Analysis of Wideband Spectrum Sensing (WSS) in Cognitive Radio Networks (CRN) over Erroneous Sensing and Reporting Channels

Abstract

With the aid of cooperative spectrum sensing (CSS), the performance characteristics of non-cooperative cognitive radio (CR) nodes can be substantially improved under the scenario of shadowing, fading, uncertainties in the channel, etc. Predominantly, the CSS scheme decreases the probabilities of miss-detection and false alarm considerably. The CSS is also mapped into multiple primary users (PU) detection schemes using orthogonal frequency division multiplexing (OFDM) technique. In this paper, we introduce a novel multi-band joint detection scheme known as wide-band spectrum sensing (WSS) in cognitive radio networks (CRN) that jointly detects various available channels rather than one frequency at a time. The proposed WSS not only enhances the dynamic spectrum utilization but also lowers the interference to the PUs. Furthermore, by lowering the PU’s interference over AWGN channel, the optimal solutions for WSS under non-cooperative and cooperative systems are investigated. This work formulates the mathematical framework for measuring miss-detection as well as total error probability (TEP). The derived analytical expressions are validated through MATLAB-based simulations. From the simulated results, it can be deduced that the proposed WSS scheme significantly enhances the performance of the system when compared with the conventional CSS schemes.