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Simultaneous Block Iterative Method With Adaptive Thresholding for Cooperative Spectrum Sensing

The effective utilization of the spectrum has become an essential goal in the communications field, which is addressed by the Cognitive Radio (CR) systems. The primary task in a CR system is to sense the spectrum to identify its holes to be exploited by the secondary users. In this paper, we tackle the compressed spectrum sensing problem in a cooperative manner. The CRs distributed in an area take the samples of the signal that has been reached to them through a wireless fading channel. The spectrum has the block-sparse structure. Moreover, the spectrum observed by different CRs in an area share the same block-sparse support. Therefore, we suggest to exploit the joint block-sparsity structure of the spectrum sensed by various CRs to reconstruct the underlying spectrum more efficiently. To this end, we have suggested a simultaneous block-sparse recovery technique based on the iterative adaptive thresholding scheme. In addition, we have given the convergence analysis of the proposed method. The suggested scheme has the advantage of reducing the number of required samples at each CR. The simulation results have also validated the superiority of the suggested scheme over the other state-of-the-art methods.