认知无线电环境下无线能量通信网能效研究

摘要

In order to improve the energy efficiency of Wireless Powered Communication Network (WPCN), a multiple signal source acquisition model in cognitive radio environment is established.Because the model optimization problem is a non-convex problem, it is transformed into a standard convex optimization problem by using fractional programming principle.On this basis, an optimization iteration algorithm is proposed to maximize the energy efficiency of the system through joint optimization of time allocation and power control.Simulation results show that the proposed model system has higher energy efficiency and faster convergence speed.%为提高无线能量通信网的能效, 建立一种认知无线电环境下的多信号源采集模型.因模型优化问题是一个非凸问题, 利用分式规划原理将其转变为一个标准的凸优化问题, 在此基础上, 通过联合优化时间分配与功率控制并提出一种优化迭代算法, 以实现系统能效的最大化.仿真结果表明, 该模型系统能效较高、收敛速度较快.