2 papers
cs.IT2026
A Parallelization Strategy for GRAND with Optimality Guarantee by Exploiting Error Pattern Tree Representation
Li Wan, Huarui Yin, Wenyi Zhang
Parallelism has become a central concern in modern decoding frameworks aiming to meet stringent throughput and latency requirements. Guessing Random Additive Noise Decoding (GRAND)…
cs.IT2025
Fine-tuning ORBGRAND with Very Few Channel Soft Values
Li Wan, Huarui Yin, Wenyi Zhang
Guessing random additive noise decoding (GRAND) is a universal decoding paradigm that decodes by repeatedly testing error patterns until identifying a codeword, where the ordering…