DocumentCode :
1728580
Title :
Communicating with energy harvesting transmitters and receivers
Author :
Tutuncuoglu, Kaya ; Yener, Aylin
Author_Institution :
Electr. Eng. Dept., Pennsylvania State Univ., University Park, PA, USA
fYear :
2012
Firstpage :
240
Lastpage :
245
Abstract :
This paper provides a general framework for utility maximization of a wireless network with energy harvesting nodes. The focus is on applying this framework to the single-link problem with an energy harvesting transmitter and an energy harvesting receiver. For the general utility maximization problem, it is shown that if the utility of a network can be expressed instantaneously as a function of the powers of the nodes, then the maximum utility achieving power policy for each node can be found using a water-filling approach for each user. This is achieved by expressing the general utility maximization problem as a pair of nested problems focusing on energy efficiency and adapting to energy harvests separately. The framework extends the previous results on offline optimization of energy harvesting transmitters to networks with all energy harvesting nodes including receivers and relays as well as any network utility, provided that the achieved utility is instantaneous and additive in time. The implications of the energy efficiency problem on the energy harvesting problem are demonstrated over an energy harvesting transmitter-receiver pair, and simulation results are presented to exhibit the performance of the optimal policy along with some alternatives for a range of storage capacities.
Keywords :
energy conservation; energy harvesting; optimisation; radio links; radio receivers; radio transmitters; energy efficiency; energy efficiency problem; energy harvesting transmitter-receiver pair; offline optimization; single-link problem; utility maximization problem; water-filling approach; wireless network; Decoding; Energy harvesting; Optimization; Receivers; Resource management; Transmitters; Vectors; Energy harvesting; battery limited nodes; optimal scheduling; utility maximization; wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory and Applications Workshop (ITA), 2012
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-1473-2
Type :
conf
DOI :
10.1109/ITA.2012.6181795
Filename :
6181795
Link To Document :
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