Performance Analysis of a Cognitive Radio Using MRC and SC Techniques

The wide growth of wireless communication leads to the scarcity of frequency spectra and available radio spectrum is a limited natural resource, being congested day by day. A possible solution is the use of Cognitive Radio (CR) technology which is a radio or system, it has the ability to the use of available spectrum on the frequency band effectively. In this paper we propose a framework for the performance analysis cooperative spectrum sensing (CSS) in cognitive radio network using maximal ratio combining and selection combining techniques. Also we propose to use a powerful acceleration algorithm for a series of iteration with finite number of time series to investigate the convergence rate. We investigates the detection accuracy varies with number of diversity branches, the fading severity and the power constraints. The result obtained reveals the relaying link statistics and performance analysis of the network using the diversity techniques.