Cooperative Spectrum Sensing in Multichannel Cognitive Radio Networks With Energy Harvesting

摘要: This paper investigates cooperative spectrum sensing in multi-channel cognitive radio networks (CRNs) with energy harvesting. Our goal is two-fold: first, to determine the optimal parameters for effective management of limited budget order maximize achievable throughput, and second, exploit benefits a practical CRN towards improving performance constrained CRN. Two different scenarios are considered. In secondary user (SU) assigned single frequency (RF) harvesting source, while SU multiple RF sources can opportunistically harvest from any sources. For these scenarios, problem formulated as stochastic control system infinite continuous state action spaces. known be computationally intractable becomes even more complicated two-dimensional such reduce computational complexity, myopic optimization approach taken, into mixed integer nonlinear (MINLP) channel assignment, duration, distribution duration associated channels detection threshold under constraint causality primary (PU) protection. A near-optimal solution obtained MINLP based on alternating convex technique. The simulation results show that considered work improve amount harvested and, by extension, active probability SUs exploiting enhanced throughput.