Stochastic traffic engineering for real-time applications over wireless networks

  • Authors:

  • Nicola Cordeschi;Tatiana Patriarca;Enzo Baccarelli

  • Affiliations:

  • Department of Information Engineering, Electronic and Telecommunication, "Sapienza" University of Rome via Eudossiana 18, 00184 Rome, Italy;Department of Information Engineering, Electronic and Telecommunication, "Sapienza" University of Rome via Eudossiana 18, 00184 Rome, Italy;Department of Information Engineering, Electronic and Telecommunication, "Sapienza" University of Rome via Eudossiana 18, 00184 Rome, Italy

  • Venue:
  • Journal of Network and Computer Applications
  • Year:
  • 2012

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Abstract

In this work, we focus on the Stochastic Traffic Engineering (STE) problem arising from the support of QoS-demanding real-time media-streaming applications over fading and congestion affected TCP-friendly/IP multiantenna wireless pipes. First, after recasting the tackled STE problem in the form of a suitable cross-layer nonlinear stochastic optimization problem, we develop a traffic analysis of the overall underlying multiple-input multiple-output (MIMO) wireless pipe that points out the relative effects of both fading-induced errors and congestion-induced packet losses on the goodput offered by the resulting end-to-end connection. Second, we develop an optimal cross-layer resource management policy that allows a joint scheduling of the media encoding rate (i.e., playin rate), transmit energy and delivery rate (i.e., playout rate) of each end-to-end connection active over the considered access network. Salient features of the presented joint scheduling policy are that: (i) it is self-adaptive; (ii) it is able to provide hard (i.e., deterministic) QoS guarantees, in terms of hard limited playout delay and playout rate-jitter; and (iii) it explicitly accounts for the performance interaction of the protocols implemented at all layers of the considered stack.