DocumentCode :
87149
Title :
On the Optimal Resource Allocation for a Wireless Energy Harvesting Node Considering the Circuitry Power Consumption
Author :
Gregori, Maria ; Payaro, Miquel
Author_Institution :
Centre Tecnol. de Telecomunicacions de Catalunya (CTTC), Castelldefels, Spain
Volume :
13
Issue :
11
fYear :
2014
fDate :
Nov. 2014
Firstpage :
5968
Lastpage :
5984
Abstract :
In this paper, an energy harvesting transmitter operating in a point-to-point link through a discrete-time fading channel is considered, where symbols can be transmitted through several parallel independent streams. Taking into account the different sources of energy consumption at the transmitter, the resource allocation (in terms of power allocation and selection of the active streams and channel accesses) that asymptotically maximizes the mutual information is derived by assuming that the transmitter has non-causal knowledge of the harvested energy and channel state (offline approach). The Boxed Water-Flowing graphical interpretation is presented, which intuitively depicts the asymptotically optimal offline resource allocation. Moreover, an online algorithm is proposed for the case in which the transmitter only has causal (past and present) knowledge of the harvested energy and channel state. Finally, the performance of the proposed offline and online solutions is numerically evaluated and the associated computational complexities are assessed and compared.
Keywords :
computational complexity; energy harvesting; fading channels; graph theory; optimisation; power consumption; radio links; radio transmitters; resource allocation; telecommunication power management; boxed water-flowing graphical interpretation; channel accesses; channel state; circuitry power consumption; computational complexities; discrete-time fading channel; energy consumption; energy harvesting transmitter; noncausal knowledge; offline resource allocation; online algorithm; point-to-point link; wireless energy harvesting node; Energy consumption; Energy harvesting; Mutual information; Power demand; Resource management; Transmitters; Wireless communication; Energy harvesting; circuitry power consumption; mutual information; power allocation;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2014.2337314
Filename :
6851198
Link To Document :
بازگشت