Deep Reinforcement Learning-Based Grant-Free NOMA Optimization for mURLLC
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DOI: 10.1109/tcomm.2023.3238061
Abstract: Grant-free non-orthogonal multiple access (GF-NOMA) is a potential technique to support massive Ultra-Reliable and Low-Latency Communication (mURLLC) service. However, the dynamic resource configuration in GF-NOMA systems is challenging due to random traffics and collisions, that… read more here.
Keywords: grant free; configuration; resource configuration; murllc service ... See more keywords