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Path Metric Inherited SCL Decoding of Multilevel Polar-Coded Systems

机译:路径公制遗传多级极型码型系统的SCL解码

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Polar code-based techniques cooperating with the multilevel coding (MLC) structure are promising for short-packet communication scenarios. In this paper, we concern about how to properly implement the successive cancellation list (SCL) decoding in multilevel polar-coded systems. We show that when SCL decoding bridges adjacent component polar codes, the path metrics should be properly inherited such that the correct path can be well preserved. To tackle this, we propose a path metric inherited SCL decoding algorithm for multilevel polar-coded systems, which integrates the decoding of multiple component polar codes into a collaborative ensemble. Simulation results show that this carefully-designed SCL decoding algorithm is critical for the performance gain of the multilevel polar-coded system against the Turbo/LDPC-coded systems.
机译:基于极性代码的技术与多级编码(MLC)结构合作,对短数据包通信场景有前途。 在本文中,我们担心如何在多级极性编码系统中正确实现连续取消列表(SCL)解码。 我们表明,当SCL解码桥接相邻的组件极性代码时,应正确继承路径度量,使得正确的路径可以保留很好。 为了解决这一点,我们提出了一种用于多级极性编码系统的路径公制遗传SCL解码算法,其将多个组件极性代码的解码集成到协作集合中。 仿真结果表明,这种精心设计的SCL解码算法对于针对涡轮/ LDPC编码系统的多级极性编码系统的性能增益至关重要。

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