Optimizing Subchannel Assignment and Power Allocation for Network Slicing in High-Density NOMA Networks: A Q-Learning Approach
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DOI: 10.1109/access.2025.3538654
Abstract: The growing number of connected devices in high-density environments poses serious challenges for accommodating and managing these devices across different network slicing services, such as ultra-reliable low-latency communication (URLLC) and massive machine-type communication (mMTC). Because… read more here.
Keywords: density noma; high density; density; subchannel assignment ... See more keywords