5G NR CA-Polar Maximum Likelihood Decoding by GRAND
Ken R. Duffy, Amit Solomon, Kishori M. Konwar, Muriel Médard
Abstract
CA-Polar codes have been selected for all control channel communications in 5G NR, but accurate, computationally feasible decoders are still subject to development. Here we report the performance of a recently proposed class of optimally precise Maximum Likelihood (ML) decoders, GRAND, that can be used with any block-code. As published theoretical results indicate that GRAND is computationally efficient for short- length, high-rate codes and 5G CA-Polar codes are in that class, here we consider GRAND's utility for decoding them. Simulation results indicate that decoding of 5G CA-Polar codes by GRAND, and a simple soft detection variant, is a practical possibility.
Topics & Concepts
Decoding methodsPolarComputer scienceAlgorithmCode (set theory)Maximum likelihoodBlock (permutation group theory)Block codeMathematicsPhysicsStatisticsCombinatoricsAstronomyProgramming languageSet (abstract data type)Error Correcting Code TechniquesAdvanced Wireless Communication TechniquesCooperative Communication and Network Coding