Energy-efficient power control policies in fading channels with Markov arrivals and QoS constraints

Mustafa Ozmen, M. Cenk Gursoy

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

4 Scopus citations

Abstract

In this paper, energy efficiency in fading channels is analyzed when data arrivals are modeled as a discrete Markov process and statistical QoS constraints are imposed. In particular, under the assumption that the channel side information is available at the transmitter, energy-efficient power adaptation policies are identified, taking into account both transmission and circuit power consumptions. In this setting, the impact of QoS limitations, circuit power considerations and source burstiness on the optimal power control policies and the optimal average power transmission levels required for energy efficient operation is investigated

Original languageEnglish (US)
Title of host publication2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings
Pages407-410
Number of pages4
DOIs
StatePublished - Dec 1 2013
Event2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Austin, TX, United States
Duration: Dec 3 2013Dec 5 2013

Publication series

Name2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings

Other

Other2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013
CountryUnited States
CityAustin, TX
Period12/3/1312/5/13

Keywords

  • Energy efficiency
  • Markov arrivals
  • Power control
  • QoS constraints

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing

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    Ozmen, M., & Gursoy, M. C. (2013). Energy-efficient power control policies in fading channels with Markov arrivals and QoS constraints. In 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings (pp. 407-410). [6736901] (2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings). https://doi.org/10.1109/GlobalSIP.2013.6736901