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Polar Codes: Robustness of the Successive Cancellation Decoder with Respect to Quantization

Information Theory 2012-09-21 v1 math.IT

Abstract

Polar codes provably achieve the capacity of a wide array of channels under successive decoding. This assumes infinite precision arithmetic. Given the successive nature of the decoding algorithm, one might worry about the sensitivity of the performance to the precision of the computation. We show that even very coarsely quantized decoding algorithms lead to excellent performance. More concretely, we show that under successive decoding with an alphabet of cardinality only three, the decoder still has a threshold and this threshold is a sizable fraction of capacity. More generally, we show that if we are willing to transmit at a rate δ\delta below capacity, then we need only clog(1/δ)c \log(1/\delta) bits of precision, where cc is a universal constant.

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Cite

@article{arxiv.1209.4612,
  title  = {Polar Codes: Robustness of the Successive Cancellation Decoder with Respect to Quantization},
  author = {S. Hamed Hassani and Rudiger Urbanke},
  journal= {arXiv preprint arXiv:1209.4612},
  year   = {2012}
}

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In ISIT 2012

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