Joint source-channel coding at the application layer

O. Y. Bursalioglu, M. Fresia, G. Caire, H. Vincent Poor

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

6 Scopus citations

Abstract

The multicasting of an independent and identically distributed Gaussian source over a binary erasure broadcast channel is considered. This model applies to a one-to-many transmission scenario in which some mechanism at the physical layer delivers information packets with losses represented by erasures, and users are subject to different erasure probabilities. The reconstruction signal-to-noise ratio (SNR) region achieved by concatenating a multiresolution source code with a broadcast channel code is characterized and four convex optimization problems corresponding to different performance criteria are solved. Each problem defines a particular operating point on the dominant face of the SNR region. Layered joint source-channel codes are constructed based on the concatenation of embedded scalar quantizers with binary raptor encoders. The proposed schemes are shown to operate very close to the theoretical optimum.

Original languageEnglish (US)
Title of host publicationProceedings - 2009 Data Compression Conference, DCC 2009
Pages93-102
Number of pages10
StatePublished - Dec 1 2009
Event2009 Data Compression Conference, DCC 2009 - Snowbird, UT, United States
Duration: Mar 16 2010Mar 18 2010

Publication series

NameData Compression Conference Proceedings
ISSN (Print)1068-0314

Other

Other2009 Data Compression Conference, DCC 2009
CountryUnited States
CitySnowbird, UT
Period3/16/103/18/10

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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    Bursalioglu, O. Y., Fresia, M., Caire, G., & Poor, H. V. (2009). Joint source-channel coding at the application layer. In Proceedings - 2009 Data Compression Conference, DCC 2009 (pp. 93-102). [4976453] (Data Compression Conference Proceedings).