Computer Science – Information Theory
Scientific paper
2004-10-10
Computer Science
Information Theory
42nd Allerton Conference on Communication, Control and Computing (invited paper)
Scientific paper
Consider communication over the binary erasure channel BEC using random low-density parity-check codes with finite-blocklength n from `standard' ensembles. We show that large error events is conveniently described within a scaling theory, and explain how to estimate heuristically their effect. Among other quantities, we consider the finite length threshold e(n), defined by requiring a block error probability P_B = 1/2. For ensembles with minimum variable degree larger than two, the following expression is argued to hold e(n) = e -e_1 n^{-2/3} +\Theta(n^{-1}) with a calculable shift} parameter e_1>0.
Amraoui Abdelaziz
Montanari Andrea
Richardson Tom
Urbanke Rudiger
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