Spatially Coupled Ensembles Universally Achieve Capacity under Belief Propagation
arXiv:1201.2999
Abstract
We investigate spatially coupled code ensembles. For transmission over the binary erasure channel, it was recently shown that spatial coupling increases the belief propagation threshold of the ensemble to essentially the maximum a-priori threshold of the underlying component ensemble. This explains why convolutional LDPC ensembles, originally introduced by Felstrom and Zigangirov, perform so well over this channel. We show that the equivalent result holds true for transmission over general binary-input memoryless output-symmetric channels. More precisely, given a desired error probability and a gap to capacity, we can construct a spatially coupled ensemble which fulfills these constraints universally on this class of channels under belief propagation decoding. In fact, most codes in that ensemble have that property. The quantifier universal refers to the single ensemble/code which is good for all channels but we assume that the channel is known at the receiver. The key technical result is a proof that under belief propagation decoding spatially coupled ensembles achieve essentially the area threshold of the underlying uncoupled ensemble. We conclude by discussing some interesting open problems.
50 pages, 9 figures
References in corpus (7)
- Threshold Saturation on BMS Channels via Spatial Coupling
- Wave-Like Solutions of General One-Dimensional Spatially Coupled Systems
- Universal Rateless Codes From Coupled LT Codes
- Threshold Saturation on Channels with Memory via Spatial Coupling
- Scaling Behavior of Convolutional LDPC Ensembles over the BEC
- Threshold Improvement of Low-Density Lattice Codes via Spatial Coupling
- Windowed Decoding of Spatially Coupled Codes
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- Approaching the Rate-Distortion Limit with Spatial Coupling, Belief propagation and Decimation
- Linear Programming Decoding of Spatially Coupled Codes
- Subsampling at Information Theoretically Optimal Rates
- A Minimax Converse for Quantum Channel Coding