Dynamic energy-efficient resource allocation in wireless powered communication network

In this paper, we investigate the dynamic energy-efficient resource allocation and analyze delay in newly emerging wireless powered communication network (WPCN). Considering the time-varying channel and stochastic data arrivals, we formulate the resource allocation (i.e., time allocation and power control) problem as a dynamic stochastic optimization model, which maximizes the system energy efficiency (EE) subject to both the data queue stability and the harvested energy availability, and simultaneously satisfies a certain quality of service (QoS) in terms of delay. With the aid of fractional programming, Lyapunov optimization theory and Lagrange method, we solve the problem and propose an dynamic energy-efficient resource allocation algorithm (DEERAA), which does not require any prior distribution knowledge of the channel state information (CSI) or stochastic data arrivals. We find that the performance of EE and delay can be adjusted by a system control parameter V. The effectiveness of the proposed algorithm is demonstrated by the mathematical analysis and simulation results.