Compressive Sensing-Based PSD Map Construction in Cognitive Radio Networks

Sparse representation of signals and its applications such as compressive sensing have attracted many researchers' interest in recent years. In cognitive radio systems, wide-band spectrum sensing based on the compressive sensing is a novel approach in spectrum sensing. Also in these systems, using spatial-frequency opportunistic reuse has emerged interestingly by constructing and deploying spatial-frequency PSD maps. In constructing PSD maps, since the sensors are distributed in the observation area, the sensed PSD by each sensor should be transmitted to a master node (base station) and finally the master node has to collect the PSDs and construct the PSD map. When the number of sensors is large, this data transmission which is required for construction of PSD map can be challenging. In this paper, the compressed sensing scheme is used to transmit the sensor's data to the master node. By using the proposed method, an acceptable PSD map for cognitive radio purposes can be achieved by only 30 % of full data transmission. Also, simulation results show the robustness of the proposed method against the channel variations in comparison with classical methods.