Low latency Improved Weighted Hard-Decision LDPC Algorithm for 5G NR

Ao Li, Qingshan Jiang, Wei Luo
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Abstract

5G data channel is latency-sensitive and demands high throughput. The Min-Sum (MS) algorithm, known as one of the LDPC Soft-Decision decoding algorithms, is widely used with guaranteed performance. However, the MS algorithm's latency and resource consumption are non-negligible drawbacks, especially for 5G system. In this paper, different strategies for FEC (Forward Error Correction) of LDPC codes are discussed. An improved Weighted Hard-Decision algorithm is proposed targeting to reduce resource occupation and latency. The decoding process is given in detail and performance is validated via simulations. Comparing with the MS algorithm and IHD (Improved Hard-Decision) algorithm, our proposed algorithm shows its potentiality to be applied in 5G data channel. Furthermore, a test bench is launched in Cisco server using X86 chipset to identify the advantage of this proposal.
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5G NR低延迟改进加权硬决策LDPC算法
5G数据通道对延迟敏感,需要高吞吐量。最小和(Min-Sum, MS)算法是LDPC软判决译码算法中的一种,具有较好的译码性能。然而,MS算法的延迟和资源消耗是不可忽视的缺点,特别是对于5G系统。本文讨论了LDPC码的前向纠错(FEC)策略。提出了一种改进的加权硬决策算法,以减少资源占用和延迟。详细给出了解码过程,并通过仿真验证了其性能。通过与MS算法和IHD (Improved Hard-Decision)算法的比较,表明了该算法在5G数据信道中的应用潜力。通过在Cisco服务器上使用X86芯片组进行测试,验证了该方案的优势。
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