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Fast and Flexible Successive-Cancellation List Decoders for Polar Codes

机译:极地代码的快速,灵活的连续取消列表解码器

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Polar codes have gained significant amount of attention during the past few years and have been selected as a coding scheme for the next generation of mobile broadband standard. Among decoding schemes, successive-cancellation list (SCL) decoding provides a reasonable tradeoff between the error-correction performance and hardware implementation complexity when used to decode polar codes, at the cost of limited throughput. The simplified SCL (SSCL) and its extension SSCL-SPC increase the speed of decoding by removing redundant calculations when encountering particular information and frozen bit patterns (rate one and single parity check codes), while keeping the error-correction performance unaltered. In this paper, we improve SSCL and SSCL-SPC by proving that the list size imposes a specific number of path splitting required to decode rate one and single parity check codes. Thus, the number of splitting can be limited while guaranteeing exactly the same error-correction performance as if the paths were forked at each bit estimation. We call the new decoding algorithms Fast-SSCL and Fast-SSCL-SPC. Moreover, we show that the number of path forks in a practical application can be tuned to achieve desirable speed, while keeping the error-correction performance almost unchanged. Hardware architectures implementing both algorithms are then described and implemented: It is shown that our design can achieve Gb/s throughput, higher than the best state-of-the-art decoders.
机译:在过去的几年中,极性码已经引起了广泛的关注,并已被选为下一代移动宽带标准的编码方案。在解码方案中,以消除吞吐量为代价,连续取消列表(SCL)解码在用于解码极性代码时在纠错性能和硬件实现复杂性之间提供了合理的权衡。简化的SCL(SSCL)及其扩展SSCL-SPC通过在遇到特定信息和冻结的位模式(速率为一个和单个奇偶校验码)时消除冗余计算,从而提高了解码速度,同时保持了纠错性能不变。在本文中,我们通过证明列表大小强加了解码速率一和单个奇偶校验码所需的特定数量的路径拆分,来改进SSCL和SSCL-SPC。因此,可以限制分割的数量,同时保证与在每个位估计时分叉路径时完全相同的纠错性能。我们将新的解码算法称为Fast-SSCL和Fast-SSCL-SPC。此外,我们表明在实际应用中可以调整路径派生的数量以达到理想的速度,同时保持纠错性能几乎不变。然后描述并实现了同时实现这两种算法的硬件体系结构:结果表明,我们的设计可以达到Gb / s吞吐量,高于最佳的最新解码器。

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