Throughput Analysis for Cooperative Cognitive Radio Networks using Cyclostationary Detection

Abstract

Detection of primary users (PUs) in the presence of interference and noise and improvement of spectrum utilization is one of the aims of cognitive radio (CR). In this paper, a fully distributed cooperative spectrum sensing scheme based on cyclostationary features techniques is proposed. The primary signal detection is realized by an orthogonal frequency division multiplexing (OFDM) sensing algorithm; each secondary user (SU) makes decisions about the PU by exchanging their own measurements with the local neighbors. The distributed scheme is analyzed on a network layer, where the throughput performance is analyzed in terms of sensing accuracy, frame duration, and system overhead. An analytical expression for the SU throughput is derived, in addition to investigating the issue of trade offs between time and overhead. Simulation results showed the relationship between the throughput and the sensing time, the effect of increasing the number of SUs on the throughput, and the outcome of increasing traffic intensity on the system performance