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该论文实现了一种基于ORBGRAND算法的通用软检测解码器，在40nm CMOS工艺上达到了低于0.8pJ/b的能量效率和16.3Gbps/mm2的面积效率，解决了短长度、高码率码的低延迟、高能效和高带宽解码需求。
Kevin Galligan3, Muriel Medard2, Ken R. Duffy3, Rabia Tugce Yazicigil1 Boston University, Boston, MA Massachusetts Institute of Technology, Cambridge, MA 3 Maynooth University, Maynooth, Ireland 1 2 Many modern communication applications demand strict latency bounds, high energy efficiency, and high bandwidth, for which only short-length, high-rate codes are suitable. Ordered Reliability Bits Guessing Random Additive Noise Decoding (ORBGRAND) is a recently proposed universal near maximum likelihood (ML) decoding algorithm [1] that can decode all short-length and high-rate codes and for which several hardware architectures have been proposed [2-3]. Those designs focused primarily on obtaining high-throughput performance at the expense of significant resource utilization. This work presents the first-integrated universal soft-detection decoder using ORBGRAND implemented in 40nm CMOS technology featuring: 1) ultra-low energy consumption of
Arslan Riaz1, Alperen Yasar1, Furkan Ercan1, Wei An2, Jonathan Ngo1,