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Polar codes: Robustness of the successive cancellation decoder with respect to quantization

机译:极码:连续消除解码器在量化方面的鲁棒性

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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.
机译:在连续解码下,极地代码可证明实现了广泛的信道容量。这假定了无限精度算法。鉴于解码算法具有连续性,人们可能会担心性能对计算精度的敏感性。我们证明,即使是非常粗略地量化的解码算法也会导致出色的性能。更具体地,我们示出了在仅用三个基数的字母进行连续解码的情况下,解码器仍然具有阈值,并且该阈值是容量的相当大的一部分。更笼统地说,我们表明,如果我们愿意以低于容量的速率δ进行传输,则只需要c个log(1 /δ)位精度,其中c是一个通用常数。

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