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A High Throughput List Decoder Architecture for Polar Codes

机译:极性码的高吞吐量列表解码器架构

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摘要

While long polar codes can achieve the capacity of arbitrary binary-inputdiscrete memoryless channels when decoded by a low complexity successivecancelation (SC) algorithm, the error performance of the SC algorithm isinferior for polar codes with finite block lengths. The cyclic redundancy check(CRC) aided successive cancelation list (SCL) decoding algorithm has bettererror performance than the SC algorithm. However, current CRC aided SCL(CA-SCL) decoders still suffer from long decoding latency and limitedthroughput. In this paper, a reduced latency list decoding (RLLD) algorithm forpolar codes is proposed. Our RLLD algorithm performs the list decoding on abinary tree, whose leaves correspond to the bits of a polar code. In existingSCL decoding algorithms, all the nodes in the tree are traversed and allpossibilities of the information bits are considered. Instead, our RLLDalgorithm visits much fewer nodes in the tree and considers fewer possibilitiesof the information bits. When configured properly, our RLLD algorithmsignificantly reduces the decoding latency and hence improves throughput, whileintroducing little performance degradation. Based on our RLLD algorithm, wealso propose a high throughput list decoder architecture, which is suitable forlarger block lengths due to its scalable partial sum computation unit. Ourdecoder architecture has been implemented for different block lengths and listsizes using the TSMC 90nm CMOS technology. The implementation resultsdemonstrate that our decoders achieve significant latency reduction and areaefficiency improvement compared with other list polar decoders in theliterature.
机译:虽然长极性代码在通过低复杂度连续取消(SC)算法进行解码时可以实现任意二进制输入离散无记忆通道的容量,但是SC算法的错误性能对于具有有限块长度的极性代码而言较差。循环冗余校验(CRC)辅助连续消除列表(SCL)解码算法具有比SC算法更好的错误性能。但是,当前的CRC辅助SCL(CA-SCL)解码器仍然存在解码延迟长和吞吐量受限的问题。本文提出了一种极地代码的减少等待时间的列表解码(RLLD)算法。我们的RLLD算法在二叉树上执行列表解码,二叉树的叶子对应于极性码的位。在现有的SCL解码算法中,遍历树中的所有节点,并考虑信息位的所有可能性。取而代之的是,我们的RLLD算法访问树中更少的节点,并考虑信息位的可能性更少。如果配置正确,我们的RLLD算法可显着减少解码延迟,从而提高吞吐量,同时几乎不降低性能。基于我们的RLLD算法,我们还提出了一种高吞吐量列表解码器架构,由于其可扩展的部分和计算单元,它适合于更大的块长度。我们的解码器架构已使用TSMC 90nm CMOS技术针对不同的块长度和列表大小实现。该实现结果表明,与文献中的其他列表极坐标解码器相比,我们的解码器可显着减少等待时间并提高面积效率。

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