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@misc{faucris.203891858,
abstract = {In this paper, we consider an energy harvesting (EH) node which harvests energy from a radio frequency (RF) signal broadcasted by an access point (AP) in the downlink (DL). The node stores the harvested energy in an energy buffer and uses the stored energy to transmit data to the AP in the uplink (UL). We consider a simple transmission policy, which accounts for the fact that, in practice, the EH node may not have knowledge of the EH profile nor of the UL channel state information. In particular, in each time slot, the EH node transmits with either a constant desired power or remains silent if not enough energy is available in its energy buffer. For this simple policy, we use the theory of discrete-time continuous-state Markov chains to analyze the limiting distribution of the stored energy for finite-and infinitesize energy buffers. Moreover, we take into account imperfections of the energy buffer and the circuit power consumption of the EH node. For a Rayleigh fading DL channel, we provide the limiting distribution of the energy buffer content in closed form. In addition, we analyze the average error rate and the outage probability of a Rayleigh faded UL channel and show that the diversity order is not affected by the finite capacity of the energy buffer. Our results reveal that, for medium to high signal-to-noise ratio (SNRs), the optimal target transmit power of the EH node is less than the average harvested power and increases with the capacity of the energy buffer.},
author = {Morsi, Rania and Michalopoulos, Diomidis and Schober, Robert},
doi = {10.1109/ACSSC.2014.7094752},
keywords = {data communication;energy harvesting;energy storage;Markov processes;probability;radio networks;Rayleigh channels;telecommunication network reliability;telecommunication power management;on-off transmission policy;wireless powered communication;energy storage;energy harvesting;EH;radio frequency signal;RF signal;access point;AP;downlink;data transmission;uplink;UL channel state information;discrete-time continuous-state Markov chain;circuit power consumption;Rayleigh fading DL channel;energy buffer distribution;average error rate;outage probability;Rayleigh fading UL channel;signal-to-noise ratio;SNR;Limiting;Buffer storage;Energy storage;Rayleigh channels;Probability density function;Approximation methods},
title = {{On}-{Off} {Transmission} {Policy} for {Wireless} {Powered} {Communication} with {Energy} {Storage}},
year = {2014}
}