Energy-efficient communication via feedback

Reza Mirghaderi, Andrea Goldsmith

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We propose a feedback optimization framework to minimize the total energy consumption in point-to-point links. The energy cost of both the forward link and the feedback link are taken into account. Given the energy consumption profile of both links, we minimize error probability subject to the total energy budget and a delay constraint. The proposed framework is based on a multi-phase feedback scheme in which a transmission, if decoded incorrectly, is followed by a retransmission with boosted energy. We show that the gain of using feedback is highly dependent on the energy consumption profile of the links and the total available energy. To illustrate this fact, we study the above framework under two different error probability models. In the first model, we assume that the one shot decoding error probability in each direction (forward or feedback) decreases exponentially with the amount of energy consumed for the corresponding transmission. In this model, the use of feedback significantly increases the energy efficiency if the total available energy is large enough. Surprisingly, this is not the case when the total energy budget is below a given threshold. In such cases, the use of feedback is strictly suboptimal in terms of energy efficiency. Interestingly, the opposite behavior occurs under the second error probability model in which we assume a super-exponential decay in probability of decoding error as a function of consumed energy. Under this model, we show that feedback does not increase energy efficiency for energy levels above a certain threshold.

Original languageEnglish (US)
Title of host publication2012 46th Annual Conference on Information Sciences and Systems, CISS 2012
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 46th Annual Conference on Information Sciences and Systems, CISS 2012 - Princeton, NJ, United States
Duration: Mar 21 2012Mar 23 2012

Publication series

Name2012 46th Annual Conference on Information Sciences and Systems, CISS 2012

Other

Other2012 46th Annual Conference on Information Sciences and Systems, CISS 2012
CountryUnited States
CityPrinceton, NJ
Period3/21/123/23/12

All Science Journal Classification (ASJC) codes

  • Information Systems

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