75 citations · 150 across the 8 of their papers we have counts for
5 papers · 1 filter
GRAND for Rayleigh Fading Channels
Syed Mohsin Abbas, Marwan Jalaleddine, Warren J. Gross
Guessing Random Additive Noise Decoding (GRAND) is a code-agnostic decoding technique for short-length and high-rate channel codes. GRAND tries to guess the channel noise by genera…
High-Throughput and Energy-Efficient VLSI Architecture for Ordered Reliability Bits GRAND
Syed Mohsin Abbas, Thibaud Tonnellier, Furkan Ercan +2
Ultra-reliable low-latency communication (URLLC), a major 5G New-Radio use case, is the key enabler for applications with strict reliability and latency requirements. These applica…
List-GRAND: A practical way to achieve Maximum Likelihood Decoding
Syed Mohsin Abbas, Marwan Jalaleddine, Warren J. Gross
Guessing Random Additive Noise Decoding (GRAND) is a recently proposed universal Maximum Likelihood (ML) decoder for short-length and high-rate linear block-codes. Soft-GRAND (SGRA…
High-Throughput VLSI Architecture for GRAND Markov Order
Syed Mohsin Abbas, Marwan Jalaleddine, Warren J. Gross
Guessing Random Additive Noise Decoding (GRAND) is a recently proposed Maximum Likelihood (ML) decoding technique. Irrespective of the structure of the error correcting code, GRAND…
High-Throughput VLSI architecture for Soft-Decision decoding with ORBGRAND
Syed Mohsin Abbas, Thibaud Tonnellier, Furkan Ercan +2
Guessing Random Additive Noise Decoding (GRAND) is a recently proposed approximate Maximum Likelihood (ML) decoding technique that can decode any linear error-correcting block code…