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 below capacity, then we need only c log(1/δ) bits of precision, where c is a universal constant.
Polar codes: Robustness of the successive cancellation decoder with respect to quantization
Seyed Hamed Hassani,R. Urbanke
Published 2012 in IEEE International Symposium on Information Theory. Proceedings
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- Publication year
2012
- Venue
IEEE International Symposium on Information Theory. Proceedings
- Publication date
2012-07-01
- Fields of study
Mathematics, Computer Science
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