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Distributed LT Codes

Authors: Srinath Puducheri; Jörg Kliewer; Thomas E. Fuja;

Distributed LT Codes

Abstract

This paper proposes a novel distributed encoding procedure to realize codes that resemble LT codes (rateless codes for erasure correction) in both structure and performance. For the case of two sources communicating with a single sink via a common relay, this technique separately encodes k/2 symbols of information onto slightly more than k code symbols at each source. These two codewords are then selectively XOR-ed at the relay, such that the result can be decoded by the sink to recover all k information symbols. It is shown that, for the case of four sources communicating to a single sink, the use of a similar distributed LT code leads to a 50% reduction in overhead at the sink, compared to the use of four individual LT codes.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Average
Top 10%
Average
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