A Fixed Latency ORBGRAND Decoder Architecture With LUT-Aided Error-Pattern Scheduling
A Fixed Latency ORBGRAND Decoder Architecture With LUT-Aided Error-Pattern Scheduling
复制标题
具有 LUT 辅助错误模式调度的固定延迟 ORBGRAND 解码器架构
DOI：
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
C. Condo
中科院分区：
文献类型：
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作者：
C. Condo
猜测随机加噪声译码(GRAND)是最近提出的一种通用的译码算法，是一种执行最大似然译码的实用方法。它生成一系列可能的错误模式，并将它们应用于接收到的向量，检查结果是否为有效的码字。有序可靠性比特GRAND(ORBGRAND)通过考虑从通道接收的软信息来改进GRAND。GRAND和ORBGRAND都在硬件中实现，专注于平均性能，牺牲了最坏情况下的吞吐量和延迟。本文提出了一种改进的ORBGRAND模式调度算法。在误块率为$le 10^{-5}的情况下，它比标准调度提供了$>；0.5$db的增益，并且以几分之一的复杂性超过了更复杂的宏大风格。所提出的调度被用于一种新颖的代码不可知的解码器体系结构中：该解码器保证固定的高吞吐量和低延迟，使得它对延迟受限的应用具有吸引力。它的性能比解码器的最差性能高出一个数量级，也超过了许多最好的数据。解码长度为128的码，吞吐量为79.21 GB/S，时延为58.49 ns，具有更好的能量效率和相当于当前技术水平的面积效率。
Guessing Random Additive Noise Decoding (GRAND) is a universal decoding algorithm that has been recently proposed as a practical way to perform maximum likelihood decoding. It generates a sequence of possible error patterns and applies them to the received vector, checking if the result is a valid codeword. Ordered reliability bits GRAND (ORBGRAND) improves on GRAND by considering soft information received from the channel. Both GRAND and ORBGRAND have been implemented in hardware, focusing on average performance, sacrificing worst case throughput and latency. In this work, an improved pattern schedule for ORBGRAND is proposed. It provides $> 0.5$ dB gain over the standard schedule at a block error rate $le 10^{-5}$ , and outperforms more complex GRAND flavors with a fraction of the complexity. The proposed schedule is used within a novel code-agnositic decoder architecture: the decoder guarantees fixed high throughput and low latency, making it attractive for latency-constrained applications. It outperforms the worst-case performance of decoders by orders of magnitude, and outperforms many best-case figures. Decoding a code of length 128, it achieves a throughput of 79.21 Gb/s with 58.49 ns latency, yielding better energy efficiency and comparable area efficiency with respect to the state of the art.
影响因子：
20.6
作者：
Bennis, Mehdi;Debbah, Merouane;Poor, H. Vincent
通讯作者：
Poor, H. Vincent