Approaching Maximum Likelihood Decoding Performance via Reshuffling ORBGRAND

Li Wan, Wenyi Zhang

Guessing random additive noise decoding (GRAND) is a recently proposed decoding paradigm particularly suitable for codes with short length and high rate. Among its variants, ordere…