Energy efficiency in multiple-antenna channels with markov arrivals and queueing constraints

Mustafa Ozmen, Mustafa C Gursoy

Research output: Chapter in Book/Entry/PoemConference contribution


Energy efficiency in multiple-antenna fading channels is analyzed in the presence of Markov sources and queueing constraints, which are imposed as limitations on buffer overflow probabilities. Two random arrival models, namely discrete Markov and Markov fluid processes, are considered. Employing the notions effective capacity of time-varying channels and effective bandwidth of time-varying sources, maximum average arrival rates of these sources that can be supported by multiple-antenna wireless systems under statistical queueing constraints are determined and the throughput levels are identified. In the low signal-to-noise ratio (SNR) regime, minimum energy per bit and wideband slope expressions are obtained. Performance with both uniform power allocation and low-SNR optimal power allocation across transmit antennas is investigated. It is shown that the minimum energy per bit does not depend on the queueing constraints and source burstiness. On the other hand, wideband slope is shown to decrease as queueing constraints get stricter and/or sources become more bursty, thus resulting in degraded energy efficiency.

Original languageEnglish (US)
Title of host publicationIEEE International Symposium on Information Theory - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Print)9781467377041
StatePublished - Sep 28 2015
EventIEEE International Symposium on Information Theory, ISIT 2015 - Hong Kong, Hong Kong
Duration: Jun 14 2015Jun 19 2015


OtherIEEE International Symposium on Information Theory, ISIT 2015
Country/TerritoryHong Kong
CityHong Kong


  • energy efficiency
  • fading channels
  • Markovian source models
  • MIMO
  • wireless throughput

ASJC Scopus subject areas

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


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