Wireless throughput and energy efficiency with random arrivals and statistical queuing constraints

Mustafa Ozmen, M. Cenk Gursoy

Research output: Contribution to journalArticlepeer-review

43 Scopus citations


Throughput and energy efficiency in fading channels are studied in the presence of randomly arriving data and statistical queuing constraints. In particular, Markovian arrival models, including discrete-time Markov, Markov fluid, and Markov-modulated Poisson sources, are considered. Employing the effective bandwidth of time-varying sources and the effective capacity of time-varying wireless transmissions, maximum average arrival rates in the presence of statistical queuing constraints are characterized. For the two-state (ON/OFF) source models, throughput is determined in a closed form as a function of the source statistics, channel characteristics, and quality of service (QoS) constraints. Throughput is further studied in certain asymptotic regimes. Furthermore, energy efficiency is analyzed by determining the minimum energy per bit and a wideband slope in the low signal-to-noise ratio regime. Overall, the impact of source characteristics, QoS requirements, and channel fading correlations on the throughput and energy efficiency of wireless systems is identified.

Original languageEnglish (US)
Article number7360187
Pages (from-to)1375-1395
Number of pages21
JournalIEEE Transactions on Information Theory
Issue number3
StatePublished - Mar 2016


  • Effective bandwidth
  • Markovian source models
  • QoS provisioning
  • effective capacity
  • energy efficiency
  • fading channels
  • maximum average arrival rates
  • minimum energy per bit
  • wideband slope
  • wireless throughput

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences


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