DocumentCode :
640197
Title :
On the capacity of a communication system with energy harvesting and a limited battery
Author :
Wei Mao ; Hassibi, Babak
Author_Institution :
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
fYear :
2013
fDate :
7-12 July 2013
Firstpage :
1789
Lastpage :
1793
Abstract :
We consider the problem of determining the capacity of an energy-harvesting transmitter with finite battery communicating over a discrete memoryless channel. When the battery is unlimited, or zero, the capacity has been determined, but it remains unknown for a finite non-zero battery. In this paper we assume that the harvested energy at each time, the total battery storage, and the transmitter signal energy at each time can be quantized to the same unit (i.e., the same energy interval). Under this assumption, we show that the capacity can be described using the Verdú-Han general framework. If we further assume that the transmitted symbol at each time depends only on the energy currently available, and not on the entire past history of energy harvests and symbols transmitted, then we show that the system reduces to a finite state channel (FSC) with the required ergodic and Markov properties so that lower bounds on the capacity can be readily numerically computed. We conjecture that our numerical bounds are tight. Our numerical results indicate that even the minimal possible battery storage can reap a significant fraction of the infinite battery capacity.
Keywords :
channel capacity; energy harvesting; radio transmitters; telecommunication power supplies; wireless channels; wireless sensor networks; FSC; Verdú-Han general framework; communication system capacity; discrete memoryless channel; energy harvesting transmitter; finite battery; finite nonzero battery; finite state channel; infinite battery capacity; limited battery; low-power wireless sensor networks; total battery storage; transmitter signal energy; wireless systems; Batteries; Information rates; Markov processes; Power capacitors; Tin; Transmitters; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on
Conference_Location :
Istanbul
ISSN :
2157-8095
Type :
conf
DOI :
10.1109/ISIT.2013.6620535
Filename :
6620535
Link To Document :
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