Dynamic Preamble-Resource Partitioning for Critical MTC in Massive MIMO Systems
Version 2 2024-06-05, 01:20Version 2 2024-06-05, 01:20
Version 1 2021-03-24, 08:48Version 1 2021-03-24, 08:48
journal contribution
posted on 2024-06-05, 01:20 authored by J Ding, D Qu, M Feng, Jinho Choi, T JiangDynamic Preamble-Resource Partitioning for Critical MTC in Massive MIMO Systems
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Journal
IEEE Internet of Things JournalVolume
8Pagination
15361-15371Publisher DOI
ISSN
2327-4662eISSN
2327-4662Language
EnglishPublication classification
C1 Refereed article in a scholarly journalIssue
20Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCUsage metrics
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Keywords
Science & TechnologyTechnologyComputer Science, Information SystemsEngineering, Electrical & ElectronicTelecommunicationsComputer ScienceEngineeringMassive MIMOPerformance evaluationReliabilityDelaysUplinkReinforcement learningInternet of Things2-step random access (RA)critical machine-type communication (MTC)delay-sensitive (DS) devicesmassive multiple-input-multiple-output (MIMO)reinforcement learning (RL)RANDOM-ACCESSCHANNELVISIONLTE4006 Communications engineering4611 Machine learning
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