Scaling Exponent and Moderate Deviations Asymptotics of Polar Codes for the AWGN Channel

Scaling Exponent and Moderate Deviations Asymptotics of Polar Codes for the AWGN Channel
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AWGN 信道的极性码的缩放指数和适度偏差渐近

DOI:
10.3390/e19070364
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发表时间:
2017
期刊:
ArXiv
影响因子:
--
通讯作者:
V. Tan
V. Tan
中科院分区:
--
文献类型:
--
作者:
S. Fong;V. Tan

文献摘要

被引文献

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本文研究了加性白色高斯噪声(AWGN)信道下的极化码。针对无记忆信道q Y的极化码的标度指数μ| X,容量I(q Y| X)将容量和非渐近可达速率之间的最近间隙表征如下:对于固定的e ∈(0,1),容量I(q Y)之间的差距|X)和由长度为n的极化码实现的最大非渐近速率Rn *,其中平均错误概率e按n - 1 / μ缩放,即,I(q Y| X)-Rn * = Θ(n - 1 / μ)。众所周知,对于任何二进制输入无记忆通道(BMC),|X)∈(0,1)由4上界。七一四我们的主要结果表明,4。714仍然是AWGN信道的标度指数的有效上限。我们的证明技术涉及以下两个想法:(i)AWGN信道的容量可以在O(n - 1 / μ log n),通过使用由n个星座组成的输入字母表并将输入分布限制为均匀的;(ii)具有由n个星座组成的输入字母表的多址信道(MAC)的容量可以在O(n - 1 / μ log n)。此外,我们研究了极化码在中等偏差范围内的性能,其中容量的差距和错误概率都随着n的增长而消失。提出了一种极化码的显式构造,以服从AWGN信道的差距与容量之间的某种折衷和错误概率的衰减率。
This paper investigates polar codes for the additive white Gaussian noise (AWGN) channel. The scaling exponent μ of polar codes for a memoryless channel q Y | X with capacity I ( q Y | X ) characterizes the closest gap between the capacity and non-asymptotic achievable rates as follows: For a fixed e ∈ ( 0 , 1 ) , the gap between the capacity I ( q Y | X ) and the maximum non-asymptotic rate R n * achieved by a length-n polar code with average error probability e scales as n - 1 / μ , i.e., I ( q Y | X ) - R n * = Θ ( n - 1 / μ ) . It is well known that the scaling exponent μ for any binary-input memoryless channel (BMC) with I ( q Y | X ) ∈ ( 0 , 1 ) is bounded above by 4 . 714 . Our main result shows that 4 . 714 remains a valid upper bound on the scaling exponent for the AWGN channel. Our proof technique involves the following two ideas: (i) The capacity of the AWGN channel can be achieved within a gap of O ( n - 1 / μ log n ) by using an input alphabet consisting of n constellations and restricting the input distribution to be uniform; (ii) The capacity of a multiple access channel (MAC) with an input alphabet consisting of n constellations can be achieved within a gap of O ( n - 1 / μ log n ) by using a superposition of log n binary-input polar codes. In addition, we investigate the performance of polar codes in the moderate deviations regime where both the gap to capacity and the error probability vanish as n grows. An explicit construction of polar codes is proposed to obey a certain tradeoff between the gap to capacity and the decay rate of the error probability for the AWGN channel.