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Priority-aware Q-learning for uplink random access in NOMA-based mMTC networks

Sep 2026 · Telecommunications Systems · Vol 89 · 0 citations · 44 references

TL;DR

A priority-aware Q-learning-based uplink random access framework for non-orthogonal multiple access (NOMA)-based mMTC networks that incorporates service differentiation into the access process by introducing priority-aware resource reservation and a weighted reward design.

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