QoS Stochastic Traffic Engineering for the wireless support of real-time streaming applications

  • Authors:

  • Enzo Baccarelli;Nicola Cordeschi;Tatiana Patriarca

  • Affiliations:

  • Dept. of Information Engineering, Electronic and Telecommunication, "Sapienza" University of Rome, Via Eudossiana 18, 00184 Rome, Italy;Dept. of Information Engineering, Electronic and Telecommunication, "Sapienza" University of Rome, Via Eudossiana 18, 00184 Rome, Italy;Dept. of Information Engineering, Electronic and Telecommunication, "Sapienza" University of Rome, Via Eudossiana 18, 00184 Rome, Italy

  • Venue:
  • Computer Networks: The International Journal of Computer and Telecommunications Networking
  • Year:
  • 2012

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Abstract

In this work, the Stochastic Traffic Engineering (STE) problem arising from the support of QoS-demanding real-time (e.g., delay and delay-jitter sensitive) media-streaming applications over unreliable IP-over-wireless pipes is addressed. Two main contributions are presented. First, we develop an optimal resource-management policy that allows a joint scheduling of the source rate, transmit energy and playout rate. Salient features of the proposed scheduling policy are that: (i) it is self-adaptive; and, (ii) it is able to provide hard (i.e., deterministic) QoS guarantees, in terms of hard limited playout delay, playout rate-jitter and pre-roll delay. Second, by referring to power and bandwidth limited access scenarios, we develop a traffic analysis of the underlying IP-over-wireless pipes that allows us to analyze the effects of both fading-induced errors and congestion-induced packet's losses on the end-to-end performance of the proposed scheduler.