4 papers · 1 filter
Performance Analysis and Optimal Design of ORB-Type GRAND Algorithms
Li Wan, Wenyi Zhang
Guessing Random Additive Noise Decoding (GRAND) performs decoding by sequentially guessing channel error patterns (EPs). Ordered Reliability Bits GRAND (ORBGRAND) is a notable inst…
GRAND for Gaussian Intersymbol Interference Channels
Zhuang Li, Wenyi Zhang
Channel decoding is challenging in communication channels exhibiting memory effects. In this work, we extend the recently proposed decoding paradigm of guessing random additive noi…
A Finite-Blocklength Analysis for ORBGRAND
Zhuang Li, Wenyi Zhang
Within the Guessing Random Additive Noise Decoding (GRAND) family, ordered reliability bits GRAND (ORBGRAND) offers hardware-friendly use of soft information. Existing information-…
Reducing ORBGRAND Latency via Partial Gaussian Elimination
Li Wan, Wenyi Zhang
Guessing Random Additive Noise Decoding (GRAND) is a universal framework for decoding all block codes by testing candidate error patterns (EPs). Ordered Reliability Bits GRAND (ORB…