Joint Optimization of Spectrum Sensing and Energy Harvesting for Cognitive Radio Network

In this paper, an energy harvesting based cooperative spectrum sensing in cognitive radio network is proposed to improve spectrum utilization and energy efficiency. We aim to exploit the optimal sensing time and energy harvesting time that maximize the spectrum access probability of the SUs under both sensing accuracy and energy constraints. A joint optimization problem of spectrum sensing time and energy harvesting time is constructed in this paper and we apply alternating direction optimization method to convert the convex problem into two sub-optimization problems. The sub-optimal solution can be obtained by repeating to optimize the spectrum sensing time and energy harvesting time until they are convergent. The simulation results are provided to validate the proposed approach, which show that the proposed model and optimization method can extend battery lifetime obviously.