Cross-layer resource allocation for delay-constrained wireless video transmission

Anna Scaglione, Mihaela Van Der Schaar

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

9 Scopus citations


We consider a set of wireless stations that transmit and receive real-time video over a wireless channel. In our analysis, each video packet experiences a single flat fading state (block fading model) and additive Gaussian noise. We assume that the flat fading parameters are known at both transmitter and receiver sides and that each packet is sufficiently long such that, through error correction, it it possible to recover it correctly at the receiver end. Under an analogous model optimal rate allocation policies have been developed in an information theoretic framework. These policies maximize aggregate throughput or minimize queueing delays, but do not explicitly consider the application layer parameters in the rate allocation. We are interested in developing the framework to derive the optimum rate adaptation for video sources and evaluating the aggregate PSNR achievable with an optimal cross-layer design combining Application-MAC-PHY layers.

Original languageEnglish (US)
Title of host publication2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Education, Spec. Sessions
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)0780388747, 9780780388741
StatePublished - 2005
Externally publishedYes
Event2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Philadelphia, PA, United States
Duration: Mar 18 2005Mar 23 2005

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149


Other2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
Country/TerritoryUnited States
CityPhiladelphia, PA

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering


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