Riaz, Arslan and Bansa, Vaibhav and Solomon, Amit and An, Wei and Liu, Qijun and Galligan, Kevin and Duffy, Ken R. and Medard, Muriel and Yazicigil, Rabia Tugce (2021) Multi-Code Multi-Rate Universal Maximum Likelihood Decoder using GRAND. ESSCIRC 2021 - IEEE 47th European Solid State Circuits Conference (ESSCIRC). pp. 239-246. ISSN 78-1-6654-3751-6/21/

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Abstract

We present the first fully-integrated universal Max- imum Likelihood decoder in 40 nm CMOS using the Guessing Random Additive Noise Decoding (GRAND) algorithm for low- power applications. The 0.83 mm2 multi-code multi-rate universal decoder can efficiently decode any code of length up to 128 bits with 1 μs latency at 68 MHz. Dynamic clock gating leveraging noise statistics reduces the average power dissipation to 3.75 mW at 1.1 V or 30.6 pJ/decoded bit with a throughput of 122.6 Mb/s. Universal decoding reduces hardware footprint, and the design allows seamless swapping between codebooks with no downtime, enabling use by multiple applications without switch-over.

Item Type:	Article
Keywords:	error correcting codes; maximum likelihood decoding; GRAND; hard-detection; universal decode;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	15185
Identification Number:	https://doi.org/10.1109/ESSCIRC53450.2021.9567867
Depositing User:	Dr Ken Duffy
Date Deposited:	06 Jan 2022 15:15
Journal or Publication Title:	ESSCIRC 2021 - IEEE 47th European Solid State Circuits Conference (ESSCIRC)
Publisher:	IEEE
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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