Energy-efficient LDPC layered decoder

Jianjun Zhang, Da Wang, Ye Jin
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Abstract

It is very important to reduce the energy consumption of low-density parity-check (LDPC) decoders, especially for the intelligent and mobile terminals in green communications. This paper presents a novel energy-efficient layered decoder (EELD) to save the power consumption of quasi-cyclic LDPC (QC-LDPC) decoders based on the layered belief propagation (LBP) algorithm. The EELD forces a check-node process into asleep, when all the reliabilities of its neighboring variable nodes exceed the lazy threshold. The EELD also adopts the lower limit of the beliefs, rather than all the beliefs, of the neighboring variable nodes to compare with the lazy threshold in order to decide the state of check-node process. The EELD can skip the useless check-node processes to save energy consumption with slight additional complexity. Simulation results show that the EELD can improve the power efficiencies of the decoders by up to 28% for WiMAX codes without loss of error performances.
高能效LDPC分层解码器
低密度奇偶校验(LDPC)解码器的能耗降低对于绿色通信中的智能终端和移动终端具有十分重要的意义。为了降低准循环LDPC (QC-LDPC)解码器的功耗,本文提出了一种基于分层信念传播(LBP)算法的新型节能分层解码器(EELD)。当邻近可变节点的所有可靠性超过惰性阈值时,EELD强制检查节点进程进入休眠状态。EELD还采用相邻变量节点的信念的下限,而不是所有的信念,与惰性阈值进行比较,以确定检查节点过程的状态。EELD可以跳过无用的检查节点过程,以节省能源消耗,并略微增加复杂性。仿真结果表明,在不损失误码性能的情况下,EELD可将解码器的功率效率提高28%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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