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Fast Simplified Successive-Cancellation List Decoding of Polar Codes

机译:极码的快速简化的连续取消列表解码

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Polar codes are capacity achieving error correcting codes that can be decoded through the successive-cancellation algorithm. To improve its error-correction performance, a list-based version called successive-cancellation list (SCL) has been proposed in the past, that however substantially increases the number of time-steps in the decoding process. The simplified SCL (SSCL) decoding algorithm exploits constituent codes within the polar code structure to greatly reduce the required number of time-steps without introducing any error-correction performance loss. In this paper, we propose a faster decoding approach to decode one of these constituent codes, the Rate-1 node. We use this Rate-1 node decoder to develop Fast-SSCL. We demonstrate that only a list-size-bound number of bits needs to be estimated in Rate-1 nodes and Fast-SSCL exactly matches the error-correction performance of SCL and SSCL. This technique can potentially greatly reduce the total number of time-steps needed for polar codes decoding: analysis on a set of case studies show that Fast-SSCL has a number of time- steps requirement that is up to 66.6% lower than SSCL and 88.1% lower than SCL.
机译:极地码是一种容量可实现的纠错码,可以通过逐次取消算法进行解码。为了提高其纠错性能,过去已经提出了一种基于列表的版本,称为连续取消列表(SCL),但是,该版本实质上增加了解码过程中的时间步数。简化的SCL(SSCL)解码算法利用极性代码结构内的组成代码来大大减少所需的时间步数,而不会造成任何纠错性能损失。在本文中,我们提出了一种更快的解码方法来解码这些组成代码之一,即Rate-1节点。我们使用这个Rate-1节点解码器来开发Fast-SSCL。我们证明,在Rate-1节点中仅需要估计列表大小限制的位数,而Fast-SSCL完全匹配SCL和SSCL的纠错性能。这项技术可能会大大减少极性代码解码所需的总时间步数:对一组案例研究的分析表明,Fast-SSCL的时间步数要求比SSCL和88.1少66.6%。比SCL低%。

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