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Author

Muhammad Muneeb

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Open access 2026

Federated Learning-Based SB-SPS Scheduling for 5G NR-V2X Under Heterogeneous Vehicular Environments

This study proposes a federated-learning-assisted sensing-based semi-persistent scheduling (SB-SPS) framework for 5G NR-V2X sidelink communication in dense and heterogeneous highway environments. Although the conventional SB-SPS enables distributed resource allocation without centralized coordination, its static reserv...

Muhammad Muneeb, Kwang-Man Ko · 0 citations
Conference Jul 2026

Federated Learning–Assisted Slot-Specific SB-SPS Scheduling for Distributed C-V2X Networks*

Cellular vehicle-to-everything (C-V2X) sidelink Mode 4 relies on sensing-based semi-persistent scheduling (SB-SPS) to enable distributed resource allocation without infrastructure support. However, conventional SB-SPS suffers from resource collisions and suboptimal slot reuse under high vehicle density, particularly in...

Muhammad Muneeb, Kwang-Man Ko · 0 citations

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