Publication | Closed Access
Normalized Generalized Mutual Information as a Forward Error Correction Threshold for Probabilistically Shaped QAM
170
Citations
11
References
2017
Year
Unknown Venue
EngineeringMachine LearningError MitigationChannel Capacity EstimationQuantum ComputingData ScienceUncertainty QuantificationApproximate ComputingPre-fec DataPerformance ImprovementError CorrectionQuantum SecurityInformation TheoryComputer EngineeringComputer SciencePredict Post-fec PerformanceSignal ProcessingError Correction CodeEntropyGeneralized Mutual InformationProbabilistically Shaped QamQuantum Error Correction
We show that the normalized generalized mutual information represents an excellent forward error correction (FEC) threshold for uniform as well as for probabilistically shaped QAM and hence allows to accurately predict post-FEC performance from measured pre-FEC data.
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