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A Fast Successive Cancellation List Decoder for Polar Codes With an Early Stopping Criterion

机译:具有提前停止准则的极地码快速连续消除列表解码器

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The successive cancellation list (SCL) decoding is the most powerful decoding algorithm for polar codes. However, the long latency makes it unsuitable for practical applications, and thus many algorithms have been presented to resolve the problem. While most of the previous algorithms have reduced the latency by pruning unnecessary operations in the middle of the process, this paper proposes an early stopping criterion. The proposed method can determine the minimum metric path without having to traverse the tree to the end if a special condition is satisfied at a certain point. The remaining bits located after the stopped bit position are decoded directly from the soft information. The simulation results show that the criterion reduces the decoding latency effectively for various code rates and list sizes without any performance loss. We also propose a hardware architecture that is efficient in realizing the proposed method. Compared to previous SCL decoding algorithms, the proposed decoder achieves 16% higher throughput and 12% improved area efficiency at an SNR of 5.0 dB when the list size is 4.
机译:连续消除列表(SCL)解码是用于极性码的最强大的解码算法。但是,较长的等待时间使其不适合实际应用,因此提出了许多算法来解决该问题。尽管大多数以前的算法通过在过程的中间修剪不必要的操作来减少等待时间,但本文提出了一种早期停止标准。如果在特定点满足特殊条件,则所提出的方法可以确定最小度量路径,而不必遍历树到最后。位于停止位位置之后的其余位直接从软信息中解码。仿真结果表明,该准则有效降低了各种码率和列表大小的解码延迟,而没有任何性能损失。我们还提出了一种可以有效实现所提出方法的硬件体系结构。与以前的SCL解码算法相比,当列表大小为4时,建议的解码器在SNR为5.0dB时实现了16%的吞吐量提高和12%的区域效率提高。

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