The authors develop an error pattern tree representation that unifies SGRAND and ORBGRAND, enabling a parallel SGRAND design with ML optimality and an enhanced parallel ORBGRAND variant, with reported speedups of 3.96x and 4.21x respectively.
Soft maximum likelihood decoding using GRAND
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A Parallelization Strategy for GRAND with Optimality Guarantee by Exploiting Error Pattern Tree Representation
The authors develop an error pattern tree representation that unifies SGRAND and ORBGRAND, enabling a parallel SGRAND design with ML optimality and an enhanced parallel ORBGRAND variant, with reported speedups of 3.96x and 4.21x respectively.
- ORBGRAND Is Exactly Capacity-achieving via Rank Companding