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Radio frequency wireless power transfer (RF-WPT) is an emerging technologythat enables transferring energy from an energy access point (E-AP) to multipleenergy receivers (E-Rs), in a wireless manner. In practice, there are somerestrictions on the power level or the amount of energy that the E-AP cantransfer, which need to be considered in order to determine a proper powertransfer policy for the E-AP. In this paper, we formulate the problem offinding the optimal policy for two practical scenarios of powerlimited andenergy-limited E-APs. The formulated problems are non-convex stochasticoptimization problems that are very challenging to solve. We propose optimaland near-optimal policies for the power transfer of the E-AP to the E-Rs, wherethe optimal solutions require statistical information of the channel states,while the near-optimal solutions do not require such information and performwell in practice. Furthermore, to ensure fairness among E-Rs, we propose twofair policies, namely Max- Min Fair policy and quality-of-service-awareProportional Fair policy. MMF policy targets maximizing the minimum receivedpower among the E-Rs, and QPF policy maximizes the total received power of theE-Rs, while guaranteeing the required minimum QoS for each E-R. Variousnumerical results demonstrate the significant performance of the proposedpolicies.

Optimal and Near-Optimal Policies for Wireless Power Transfer in Energy-Limited and Power-Limited Scenarios