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.
This paper studies uplink random access in a heterogeneous dual-link IEEE 802.11be network, where single-link devices (SLDs) and multi-link devices (MLDs) coexist under uplink OFDMA random access (UORA) and immediate-access multi-link operation (IAMLO). Although IAMLO can improve throughput and protect the access oppor...
Chen Zeng, Jin Meng, Peng-Hui Song et al.· 2026 IEEE/CIC International...· 0 citations
Simulation results show that TADS achieves higher network throughput than conventional random RU selection under data, real-time, and mixed traffic scenarios, and the results also show that the performance gain depends on the available RU configuration, with greater benefits when different RU sizes are available.
Non-Terrestrial Networks enable wide-area connectivity in remote and underserved regions. However, the rapid growth of Internet of Things applications poses challenges in achieving high transmission capacity while maintaining fairness under heterogeneous channel conditions. Conventional sum-rate maximization prioritize...
Mahran Ghanem, R. Nordin, Athirah Mohd Ramly et al.· Frontiers in Communications...· 0 citations
This paper incorporates uniform planar arrays into a cooperative dynamic spectrum access (DSA) mechanism based on the IEEE 1900.5.2 spectrum consumption model (SCM). Unlike prior work on SCM-based DSA that assume a fixed radiation pattern, the proposed DSA mechanism treats the radiation pattern as a design variable and...
Jiwon Sung, Seung-Min Choi, A. Gorle et al.· 0 citations
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