This letter considers a wireless powered communication network (WPCN) where users first harvest energy in downlink and then utilize the energy to transmit information signal in uplink simultaneously. Our goal is to maximize the energy efficiency (EE) of the network via joint time allocation and power control. However, directly solving this issue is of significant challenge due to its nonconvex property. By exploiting the nonlinear fractional programming, an iterative resource allocation method based on the Dinkelbach structure is proposed to solve the considered nonconvex optimization problem. In each iteration, we optimize power with fixed time allocation and then optimize time with a given power allocation. Simulation results are presented to show that the system EE is greatly improved by the proposed approach.

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iterative resource allocation method dinkelbach structure power control nonconvex optimization nonlinear fractional programming energy efficiency ee approach wireless powered communication network joint time allocation

Lei Huang, Jihong Zhang, Peichang Zhang, Chongtao Guo,Xin Lin, Min Huang,.Energy-Efficient Resource Allocation in TDMS-Based Wireless Powered Communication Networks. 21 (4),861-864.

Lei Huang, et al."Energy-Efficient Resource Allocation in TDMS-Based Wireless Powered Communication Networks" 21

Lei Huang, Jihong Zhang, Peichang Zhang, Chongtao Guo,Xin Lin, Min Huang,"Energy-Efficient Resource Allocation in TDMS-Based Wireless Powered Communication Networks"