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A Low Complexity Encoding Algorithm for Systematic Polar Codes

机译:系统极性码的低复杂度编码算法

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Arıkan has shown that systematic polar codes (SPC) outperform non-SPC (NSPC). However, the performance gain comes at the price of elevated encoding complexity, i.e., compared with NSPC, the available encoding methods for SPC require higher memory and computation. In this letter, we propose an efficient encoding algorithm requiring only bits of memory and having XOR operations. Moreover, the auxiliary variables in the algorithm can share the memory to reduce extra memory requirement. Furthermore, a parallel 2-bit encoding algorithm is also presented to improve the encoding throughput. Remarkably, we show that parallel encoding can be implemented with the same number of XOR operations and memory bits. Finally, the proposed encoding algorithm can be directly used for NSPC with the same complexity.
机译:Arıkan表明,系统的极地代码(SPC)优于非SPC(NSPC)。但是,性能的提高是以增加编码复杂性为代价的,即,与NSPC相比,用于SPC的可用编码方法需要更高的内存和计算量。在这封信中,我们提出了一种高效的编码算法,只需要存储位并具有XOR操作即可。此外,算法中的辅助变量可以共享内存以减少额外的内存需求。此外,还提出了并行2位编码算法,以提高编码吞吐量。值得注意的是,我们表明可以使用相同数量的XOR操作和存储位来实现并行编码。最后,所提出的编码算法可以以相同的复杂度直接用于NSPC。

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