Throughput of hybrid-ARQ chase combining with ON-OFF Markov arrivals under QoS constraints

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

2 Scopus citations


In this paper, throughput of hybrid automatic repeat request (HARQ) schemes is studied in the presence of Markovian data arrivals and statistical queuing constraints. In particular, two queuing models are considered. Specifically, when outage occurs, the transmitter keeps the packet, lowers its priority, and attempts to retransmit it later in the first queue model while the packet is discarded and removed from the buffer in the second queue model. The throughput is investigated when outage constraints, statistical queuing constraints and deadline constraints are imposed. The deadline constraint provides a limitation on the number of retransmissions. Under these assumptions, throughput characterizations are obtained for HARQ chase combining (CC) scheme with three types of Markovian sources, namely the ON-OFF discrete-time and fluid Markov sources and Markov modulated Poisson source (MMPS). Our analytical results are verified via Monte Carlo simulations. In the numerical results, the impact of source randomness, deadline constraints, outage probability and queuing constraints on the throughput is analyzed.

Original languageEnglish (US)
Title of host publication2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509013289
StatePublished - Feb 2 2017
Event59th IEEE Global Communications Conference, GLOBECOM 2016 - Washington, United States
Duration: Dec 4 2016Dec 8 2016


Other59th IEEE Global Communications Conference, GLOBECOM 2016
CountryUnited States

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality

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