Asymmetric multi-level diversity coding

Soheil Mohajer, Tian Chao, Suhas N. Diggavi

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

2 Scopus citations


Symmetric multilevel diversity coding was introduced by Roche et al, where a set of K information sources is encoded by K encoders and the decoders reconstruct sources 1,...,k, where k is the number of encoders to which they have access. In this paper, we formulate an asymmetric multilevel diversity coding problem, where a set of 2K - 1 information sources is encoded by K encoders into K streams/descriptions. There are 2K -1 decoders, each of which has access to a non-empty subset of the encoded messages. The decoders are assigned with ordered levels, and each of them has to decode a subset of the information sources, according to its level, which depends on the set of encoders to which it has access, not just the cardinality. We obtain a single letter characterization of the complete achievable rate region for the 3description problem. In doing so, we show that it is necessary to jointly encode independent sources (i.e., similar to network coding), and that linear codes are optimal for this problem.

Original languageEnglish (US)
Title of host publicationProceedings - 2008 Data Compression Conference, DCC 2008
Number of pages10
StatePublished - 2008
Event2008 Data Compression Conference, DCC 2008 - Snowbird, UT, United States
Duration: Mar 25 2008Mar 27 2008

Publication series

NameData Compression Conference Proceedings
ISSN (Print)1068-0314


Other2008 Data Compression Conference, DCC 2008
Country/TerritoryUnited States
CitySnowbird, UT


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