Impact of channel and source variations on the energy efficiency under QoS constraints

Mustafa Ozmen, M. Cenk Gursoy

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

5 Scopus citations

Abstract

Energy efficiency in wireless fading channels is studied in the presence of statistical quality of service (QoS) constraints. Energy per bit is employed as the performance metric. Minimum energy per bit and wideband slope expressions are determined to quantify the energy efficiency in the low signal-to-noise ratio (SNR) regime. In particular, the impact of channel and source variations is investigated. A block-fading model in which fading coefficients are arbitrarily correlated in one block before assuming independent realizations in the next one, is considered. Initially, the effect of fading correlation on energy efficiency is analyzed. It is shown that while minimum energy per bit does not depend on the fading correlation, wideband slope decreases as positive correlation increases, resulting in increased energy requirements at low but nonzero SNR levels. Subsequently, an ON-OFF source arrival model is considered. It is shown that while the minimum energy per bit does not get affected by source variations, wideband slope diminishes with increasing source burstiness. ("THIS PAPER IS ELIGIBLE FOR THE STUDENT PAPER AWARD")

Original languageEnglish (US)
Title of host publication2012 IEEE International Symposium on Information Theory Proceedings, ISIT 2012
Pages806-810
Number of pages5
DOIs
StatePublished - Oct 22 2012
Event2012 IEEE International Symposium on Information Theory, ISIT 2012 - Cambridge, MA, United States
Duration: Jul 1 2012Jul 6 2012

Publication series

NameIEEE International Symposium on Information Theory - Proceedings

Other

Other2012 IEEE International Symposium on Information Theory, ISIT 2012
CountryUnited States
CityCambridge, MA
Period7/1/127/6/12

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Information Systems
  • Modeling and Simulation
  • Applied Mathematics

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