Layered randomized cooperative multicast for lossy data: A superposition approach

Özgü Alay, Xin Pan, Elza Erkip, Yao Wang

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

Abstract

In this paper, we consider randomized distributed cooperation for multicasting a source signal with end-to-end distortion used as a performance metric. In order to provide differentiated quality to users with different channel strengths, we study layered cooperation where layers are transmitted simultaneously using superposition coding. We first formulate the problem and investigate the effect of power allocation of different layers on the distribution of end-to-end quality of users under a real-time delivery requirement. We then compare the proposed scheme with sequential layered transmission in which the layers are transmitted sequentially in time. Our results show that layered cooperation with superimposed layers outperforms sequential layered cooperation and provides a good alternative for multicast applications.

Original languageEnglish (US)
Title of host publicationProceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009
Pages330-335
Number of pages6
DOIs
StatePublished - 2009
Event43rd Annual Conference on Information Sciences and Systems, CISS 2009 - Baltimore, MD, United States
Duration: Mar 18 2009Mar 20 2009

Publication series

NameProceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009

Other

Other43rd Annual Conference on Information Sciences and Systems, CISS 2009
CountryUnited States
CityBaltimore, MD
Period3/18/093/20/09

Keywords

  • Layering
  • Lossy source
  • Randomized distributed cooperation
  • Superposition coding
  • Wireless networks

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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