SOGRAND Assisted Guesswork Reduction

Proposals to reduce the guesswork of guessing random additive noise decoding (GRAND) by leveraging codebook structure can introduce an imprecise guessing order, which can degrade the block error rate (BLER). We establish one can preserve guesswork reduction while eliminating BLER degradation through dynamic list decoding terminated based on soft output GRAND’s error probability estimate. We illustrate the approach with a method inspired by published literature and compare performance with guessing codeword decoding (GCD). We establish that it is possible to provide the same BLER performance as GCD while reducing guesswork by up to a factor of 32.