Optimal collaborative energy harvesting spectrum sensing with limited time resource

Abstract

We study a collaborative spectrum sensing (CSS) problem with limited time and energy resources in cognitive radio (CR) network. Time duration of sensing and data transmission, if the spectrum is identified as vacant, are both supposed to be fixed. This implies that the time resource dedicated for CSS is limited and shared between results reporting time (which depends on the number of sensing users) and spectrum sensing time. We consider an optimization problem containing network constraints on time and energy resources for an energy harvesting secondary user (SU) which cooperates with other users by an OR fusion rule. It is assumed that the SU with arbitrary signal to noise ratio is in energy deficit regime and also predefined constraint on probability of collision is satisfied to protect the cooperative network performance quality. We analytically prove the convexity of the considered optimization problem to ensure we obtain a global solution. Analytical results in addition to simulation results are provided to prove the claims. 2016 IEEE.