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Applying bit-level probabilistically shaped coded modulation for high-throughput communications

机译:应用比特级概率形状编码调制进行高通量通信

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We evaluate two architectures for fixed length distribution matching. Distribution matching is essential for probabilistic amplitude shaping, a modulation scheme recently proposed for next generation wireless communications. The parallel architecture, called the bit-level distribution matcher (BL-DM) is compared with the symbol-level constant composition distribution matcher (CCDM). Simulation results confirm higher throughput of the BL-DM without performance loss compared to the symbol-level CCDM, when multiple processors can be used. For single core systems, the symbol-level CCDM achieves higher throughput. We also prove that when the output distributions of the BL-DM and the symbol-level CCDM are the same, i.e., they can be represented as a product of binary distributions, the BL-DM achieves lower or equal rate-loss.
机译:我们评估固定长度分布匹配的两种体系结构。分布匹配对于概率幅度整形至关重要,概率整形是最近为下一代无线通信提出的一种调制方案。将称为位级分布匹配器(BL-DM)的并行体系结构与符号级常量组成分布匹配器(CCDM)进行比较。当可以使用多个处理器时,仿真结果证实了与符号级CCDM相比,BL-DM的吞吐量更高,而没有性能损失。对于单核系统,符号级CCDM可实现更高的吞吐量。我们还证明,当BL-DM和符号级CCDM的输出分布相同时,即可以将其表示为二进制分布的乘积,则BL-DM的速率损耗将更低或相等。

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