A Sub-0.8-pJ/bit Universal Soft-Detection Decoder Using ORBGRAND

Guessing random additive noise decoding (GRAND) has enabled the practical implementation of maximum likelihood (ML) or near-ML decoding, shifting the paradigm of code-specific decoder design to a code-agnostic decoding architecture. Ordered reliability bits GRAND (ORBGRAND) is a soft-detection varia...

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Veröffentlicht in:	IEEE journal of solid-state circuits 2024-11, p.1-15
Hauptverfasser:	Riaz, Arslan, Yasar, Alperen, Ercan, Furkan, An, Wei, Ngo, Jonathan, Galligan, Kevin, Medard, Muriel, Duffy, Ken R., Yazicigil, Rabia Tugce
Format:	Artikel
Sprache:	eng
Schlagworte:	Additive noise Codes Decoder Energy efficiency forward error correction guessing random additive noise decoding (GRAND) Hardware Iterative decoding Maximum likelihood decoding Noise ordered reliability bits GRAND (ORBGRAND) Power demand Reliability soft detection Sorting
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