DocumentCode :
2141176
Title :
Performance analysis of wireless powered communication with finite/infinite energy storage
Author :
Morsi, Rania ; Michalopoulos, Diomidis S. ; Schober, Robert
Author_Institution :
Institute of Digital Communications, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Germany
fYear :
2015
fDate :
8-12 June 2015
Firstpage :
2469
Lastpage :
2475
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 a lower power 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 (AER) 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, except for high outage probabilities and high AERs, the optimal transmit power by the EH node is less than the average harvested power and increases with the capacity of the energy buffer.
Keywords :
Approximation methods; Buffer storage; Energy storage; Fading; Limiting; Probability density function; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2015 IEEE International Conference on
Conference_Location :
London, United Kingdom
Type :
conf
DOI :
10.1109/ICC.2015.7248695
Filename :
7248695
Link To Document :
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