论文标题
概率振幅成型的可实现信息率：通过随机签名论证的替代方法
Achievable Information Rates for Probabilistic Amplitude Shaping: An Alternative Approach via Random Sign-Coding Arguments
论文作者
论文摘要
概率振幅构成（PAS）是一种编码的调制策略，在该策略中，将星座塑造和通道编码组合在一起。 PA在无线和光学通信中引起了极大的关注。使用Gallager的错误指数方法在文献中研究了PAS的可实现信息率（AIRS）。特别是，已经表明，PAS达到了加性白色高斯噪声通道的能力（Böcherer，2018年）。在这项工作中，我们重新审视了PAS的能力调整性能，并使用薄弱的典型性来衍生空气。我们的目标是根据尽可能建设性的随机标志编码参数提供替代证明。因此，在我们的证据中，仅从随机代码中绘制了通道输入的一些迹象，而其余的符号和振幅则是建设性地产生的。我们考虑符号 - 金属和位 - 金属解码。
Probabilistic amplitude shaping (PAS) is a coded modulation strategy in which constellation shaping and channel coding are combined. PAS has attracted considerable attention in both wireless and optical communications. Achievable information rates (AIRs) of PAS have been investigated in the literature using Gallager's error exponent approach. In particular, it has been shown that PAS achieves the capacity of the additive white Gaussian noise channel (Böcherer, 2018). In this work, we revisit the capacity-achieving property of PAS and derive AIRs using weak typicality. Our objective is to provide alternative proofs based on random sign-coding arguments that are as constructive as possible. Accordingly, in our proofs, only some signs of the channel inputs are drawn from a random code, while the remaining signs and amplitudes are produced constructively. We consider both symbol-metric and bit-metric decoding.
