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In a wireless powered communication network (WPCN), an energy access pointsupplies the energy needs of the network nodes through radio frequency wavetransmission, and the nodes store the received energy in their batteries fortheir future data transmission. In this paper, we propose an online stochasticpolicy that jointly controls energy transmission from the EAP to the nodes anddata transfer among the nodes. For this purpose, we first introduce a novelperturbed Lyapunov function to address the limitations on the energyconsumption of the nodes imposed by their batteries. Then, using Lyapunovoptimization method, we propose a policy which is adaptive to any arbitrarychannel statistics in the network. Finally, we provide theoretical analysis forthe performance of the proposed policy and show that it stabilizes the network,and the average power consumption of the network under this policy is within abounded gap of the minimum power level required for stabilizing the network.

Joint Data Routing and Power Scheduling for Wireless Powered Communication Networks