5G NR CA-Polar Maximum Likelihood Decoding by GRAND
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 u...
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| creator | Duffy, Ken Solomon, Amit Konwar, Kishori M Medard, Muriel |
| description | 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. |
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| subjects | Codes Computer simulation Decoders Maximum likelihood decoding |
| title | 5G NR CA-Polar Maximum Likelihood Decoding by GRAND |
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