Subchannel and resource allocation in cognitive radio sensor network with wireless energy harvesting

Cognitive Radio Sensor Network (CRSN) is a promising network architecture which integrates the advantages of cognitive radio and sensor networks. In this paper, the CRSN with spectrum leasing mode is considered. In the CRSN, Secondary Users (SUs) relay the information of Primary User (PU), as a reward, PU leases partial spectrum usage time to SUs. Considering the wireless energy harvesting and transmission outage probability constraints, we propose a joint subchannel, power and leasing time allocation algorithm to maximize the system throughput. In the joint optimization algorithm, an alternating optimization method is adopted, and the CVX solver is introduced to solve the optimization problems. Simulation results verify the effectiveness of the joint optimization algorithm in the improvement of system throughput. (C) 2019 Elsevier B.V. All rights reserved.