论文标题
通过符号刺激概率振幅塑造的符号穿刺
Symbol-wise Puncturing for HARQ Integration with Probabilistic Amplitude Shaping
论文作者
论文摘要
在这封信中，我们提出了一个符号穿刺方案，以支持混合自动重复请求（HARQ）集成的概率振幅成型（PAS）。为了防止传统的顺序穿刺引起的概率分布失真并实现PAS的承诺增益，我们在形状调制符号的标签序列上执行符号刺穿。我们的仿真结果表明，与在相同的吞吐量下的均匀情况相比，所提出的刺穿方案在信噪比上达到了至少0.6 dB的稳定形状增益，而随着反反反声的反应，顺序刺激下降的增长迅速。此外，在每个变速箱中，提出的方案能够减少以$ {10^{ - 3}} $的块错误率（BLER）以超过1.2 dB增益的分布失真。相比之下，对于顺序穿刺，分布会严重扭曲，并且比转递导率中的均匀情况更糟糕。
In this letter, we propose a symbol-wise puncturing scheme to support hybrid automatic repeat request (HARQ) integrated probabilistic amplitude shaping (PAS). To prevent the probability distribution distortion caused by the traditional sequential puncturing and realize the promised gain of PAS, we perform symbol-wise puncturing on the label sequence of the shaped modulation symbols. Our simulation results indicate that the proposed puncturing scheme achieves a stable shaping gain across the signal-to-noise ratio of at least 0.6 dB compared with the uniform case under the same throughput, while the gain of sequential puncturing drops rapidly with retransmissions. Moreover, in each transmission, the proposed scheme is able to reduce the distribution distortion that achieves over 1.2 dB gain at a block error rate (BLER) of ${10^{-3}}$. In contrast, for sequential puncturing, the distribution is severely distorted and the BLER performance is even worse than that of the uniform case in retransmissions.
