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A Modified-SCD for Optimize Performance Rate at Polar Code

机译:修改SCD,用于优化Polar代码的性能速率

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摘要

The first verified capacity-achieving codes were developed by Arikan called "polar codes." It has gained significant attention due to their low encoding and decoding process complexity and optimum capacity-achievement process. In the original form of polar codes, the decoder has the inferior performance with finite 'block-lengths' as compared to the LDPC codes, therefore, the successive cancellation decoder ("SCD") for the polar codes is a very important element in order to provide a capacity theorem, but it comprises complexity at a larger number of iterations that is not applicable for the point of view of lower latency application. Therefore, in this article we proposed a modified SCD that rearranges the stages but it can cause decoder performance degradation, so we applied a novel design rule of the polar codes in order to match with our MSCD model. In the result analysis section, we show the effectiveness of our proposed model that tends to have higher performance rate as compared to standard SCD.
机译:第一个验证的能力实现代码是由Arikan称为“Polar Codes”的Arikan开发的。由于它们的低编码和解码过程复杂性和最佳容量 - 成就过程,它效率显着。在原始形式的极性代码中,解码器与LDPC码相比,解码器具有有限的“块长度”,因此,极性代码的连续取消解码器(“SCD”)是一个非常重要的元素为了提供容量定理,但它包括在更大数量的迭代中的复杂性,这不适用于降低延迟应用的角度。因此,在本文中,我们提出了一个修改的SCD,它重新排列阶段,但它可能导致解码器性能下降,因此我们应用了极性代码的新颖设计规则,以便与我们的MSCD模型匹配。在结果分析部分中,我们展示了与标准SCD相比具有更高的性能率的拟议模型的有效性。

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