IEEE Communications Letters · 2017 · 19 citations · 11 references
EngineeringComputer ScienceElectrical EngineeringDigital CommunicationInformation TheoryProbability TheoryChannel CodingCoding TheoryError Control CodingError-correcting CodesNetwork Information TheorySource CodingInformation-theoretic CodingNetwork CodingRandom Linear Codes
In the literature, there exist analytical expressions for the probability of a receiver decoding a transmitted source message that has been encoded using random linear network coding. In this letter, we look into the probability that the receiver will decode at least a fraction of the source message, and present an exact solution to this problem for both non-systematic and systematic network coding. Based on the derived expressions, we investigate the potential of these two implementations of network coding for information-theoretic secure communication and progressive recovery of data.
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