Name
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 infinite-size 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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ACSSC.2014.7094752 | Pacific Grove, CA |
Keywords | Field | DocType |
Markov processes,Rayleigh channels,data communication,energy harvesting,energy storage,probability,radio networks,telecommunication network reliability,telecommunication power management,AP,EH,RF signal,Rayleigh fading DL channel,Rayleigh fading UL channel,SNR,UL channel state information,access point,average error rate,circuit power consumption,data transmission,discrete-time continuous-state Markov chain,downlink,energy buffer distribution,energy harvesting,energy storage,on-off transmission policy,outage probability,radio frequency signal,signal-to-noise ratio,uplink,wireless powered communication | Energy storage,Topology,Transmitter power output,Rayleigh fading,Wireless,Computer science,Communication channel,Energy harvesting,Electronic engineering,Channel state information,Telecommunications link | Conference |
Volume | ISSN | Citations |
abs/1412.1267 | 1058-6393 | 11 |
PageRank | References | Authors |
0.59 | 7 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rania Morsi | 1 | 73 | 5.56 |
| Diomidis S. Michalopoulos | 2 | 515 | 26.11 |
| Robert Schober | 3 | 8448 | 488.41 |