Optimal SINR based resource allocation for simultaneous energy and information transfer

In this paper, we study the problem of simultaneous information and power transfer in a wireless multi-user, single hop network. Specifically, we develop an optimal resource allocation algorithm that maximizes the long term average rate of the network while harvesting energy from both the received signal and the interference. We focus on receivers that split the received signal power into two streams; one is fed to an information decoding block and the other is fed to an energy harvester block. We use a weight perturbation Lyapunov approach to optimally schedule data admission and allocate the powers and the energy splitting factors. We show that the designed algorithm achieves O(1/K) of the optimal and requires O(K) data queue and battery size.