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arXiv 1302.5906cs.ITmath.IT
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利用格型高斯编码实现AWGN信道容量

Achieving AWGN Channel Capacity With Lattice Gaussian Coding

Cong Ling, Jean-Claude Belfiore

摘要:

本文提出了一种新的编码方案,当信噪比为$\SNR>e-1$时,该方案仅使用一个格,实现了加性高斯白噪声(AWGN)信道的$\frac{1}{2}\log(1+\SNR)$容量。该方案在AWGN良好晶格上应用离散高斯分布,但不需要成形晶格或抖动。因此,它大大简化了Erez和Zamir的默认网格编码方案,该方案涉及量化良好的网格以及AWGN良好的网格。使用平坦因子,我们表明,所提出的计划下的最小均方误差(MMSE)格型解码的错误概率几乎是相同的Erez和Zamir,为任何速率的AWGN信道容量。我们引入了良好星座的概念,它携带几乎相同的互信息的连续高斯输入。我们还解决了建议的格型高斯编码方案的高斯成形的实施。

英文摘要:

We propose a new coding scheme using only one lattice that achieves the $\frac{1}{2}\log(1+\SNR)$ capacity of the additive white Gaussian noise (AWGN) channel with lattice decoding, when the signal-to-noise ratio $\SNR>e-1$. The scheme applies a discrete Gaussian distribution over an AWGN-good lattice, but otherwise does not require a shaping lattice or dither. Thus, it significantly simplifies the default lattice coding scheme of Erez and Zamir which involves a quantization-good lattice as well as an AWGN-good lattice. Using the flatness factor, we show that the error probability of the proposed scheme under minimum mean-square error (MMSE) lattice decoding is almost the same as that of Erez and Zamir, for any rate up to the AWGN channel capacity. We introduce the notion of good constellations, which carry almost the same mutual information as that of continuous Gaussian inputs. We also address the implementation of Gaussian shaping for the proposed lattice Gaussian coding scheme.

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