Residual energy maximization in cooperative spectrum sensing with energy harvesting
作者： Avik Banerjee , Santi P. Maity
关键词: Cognitive radio 、 Energy consumption 、 Energy harvesting 、 Maximization 、 Optimization problem 、 Energy (signal processing) 、 Computer science 、 Mathematical optimization 、 Residual 、 False alarm
摘要: This paper considers a cooperative spectrum sensing scheme for cognitive radio network that uses power splitting mode simultaneous and harvesting of energy. The objective is to maximize the residual harvested energy over total consumption in process. An optimization problem formulated terms number secondary user (sensing) nodes, samples required, amplifying gain transmission factor under constraints detection false alarm probabilities. concavity constrained function proved mathematically analytical solutions are verified through large set simulation results. Simulation result shows 40% achieved existing work at probabilities 0.9 0.05, respectively.
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