DocumentCode :
2516859
Title :
Green codes: Energy-efficient short-range communication
Author :
Grover, Pulkit ; Sahai, Anant
Author_Institution :
Dept. of EECS, Univ. of California at Berkeley, Berkeley, CA
fYear :
2008
fDate :
6-11 July 2008
Firstpage :
1178
Lastpage :
1182
Abstract :
A green code attempts to minimize the total energy per-bit required to communicate across a noisy channel. The classical information-theoretic approach neglects the energy expended in processing the data at the encoder and the decoder and only minimizes the energy required for transmissions. Since there is no cost associated with using more degrees of freedom, the traditionally optimal strategy is to communicate at rate zero. In this work, we use our recently proposed model for the power consumed by iterative message passing. Using generalized sphere-packing bounds on the decoding power, we find lower bounds on the total energy consumed in the transmissions and the decoding, allowing for freedom in the choice of the rate. We show that contrary to the classical intuition, the rate for green codes is bounded away from zero for any given error probability. In fact, as the desired bit-error probability goes to zero, the optimizing rate for our bounds converges to 1.
Keywords :
error statistics; iterative decoding; message passing; bit error probability; decoding power; energy-efficient communication; green codes; information theoretic approach; iterative message passing; noisy channel; short-range communication; sphere-packing bounds; AWGN channels; Additive white noise; Cost function; Energy efficiency; Error probability; Filtering theory; Gaussian noise; Iterative decoding; Message passing; Yarn;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2008. ISIT 2008. IEEE International Symposium on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-2256-2
Electronic_ISBN :
978-1-4244-2257-9
Type :
conf
DOI :
10.1109/ISIT.2008.4595173
Filename :
4595173
Link To Document :
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