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Analytical rate optimization for multicast
KTH, School of Electrical Engineering (EES), Sound and Image Processing (Closed 130101).
KTH, School of Electrical Engineering (EES), Sound and Image Processing (Closed 130101).
2008 (English)Conference paper (Refereed)
Abstract [en]

We consider the problem of multicast rate optimization for a given number of multicast groups. The efficient solution of this problem is particularly relevant for video multicast. Motivated by practical considerations, such as the need for adaptivity to changing network conditions, we develop an analytical solution that minimizes the expected distortion of a receiver. Unlike previous work, we recognize variability in existing networks and model the receiver reception capacities by a continuous stochastic variable. Our analytical solution is optimal under the assumption of a large number of multicast groups. We investigate the distortion overhead when this assumption is not satisfied and find that it is low. We compare our results to the state of the art, iterative optimization for a realization of receiver reception capacities, and find that our analytical solution performs better for any number of multicast groups. copyright by EURASIP.

Place, publisher, year, edition, pages
, European Signal Processing Conference, ISSN 2219-5491
Keyword [en]
Adaptivity, Iterative Optimization, Multicast groups, Multicast rate, Multicasts, Network condition, Reception capacity, State of the art, Stochastic variable, Video multicast, Optimization, Signal processing, Multicasting
National Category
Media and Communications
URN: urn:nbn:se:kth:diva-153310ScopusID: 2-s2.0-84863770821OAI: diva2:756352
16th European Signal Processing Conference, EUSIPCO 2008, 25-29 August 2008, Lausanne, Switzerland

QC 20141017

Available from: 2014-10-17 Created: 2014-10-03 Last updated: 2014-10-17Bibliographically approved

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Kozica, ErminKleijn, W. Bastiaan
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