Title :
Polar codes: Robustness of the successive cancellation decoder with respect to quantization
Author :
Hassani, S. Hamed ; Urbanke, Rüdiger
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 below capacity, then we need only c log(1/δ) bits of precision, where c is a universal constant.
Keywords :
channel capacity; channel coding; decoding; quantisation (signal); channel capacity; infinite precision arithmetic; polar codes; quantized decoding algorithms; successive cancellation decoder; Channel capacity; Decoding; Encoding; Quantization; Random variables; Robustness; Vegetation;
Conference_Titel :
Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
Conference_Location :
Cambridge, MA
Print_ISBN :
978-1-4673-2580-6
Electronic_ISBN :
2157-8095
DOI :
10.1109/ISIT.2012.6283642