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cs.NI2026
Indirect Estimation of SINR via SSB and CSI-RS RSRP in 5G NR
Leonardo Spampinato, Mahamadou Togola, Matteo Bernabè +3
Predicting user equipment (UE) performance is essential for proactive network control, resource management, and digital twin sandboxes. However, the inherent flexibility and comple…
cs.NI2026
Multi-Agent Meta-Advisor for UAV Fleet Trajectory Design in Vehicular Networks
Leonardo Spampinato, Lorenzo Mario Amorosa, Enrico Testi +2
Future vehicular networks require continuous connectivity to serve highly mobile users in urban environments. To mitigate the coverage limitations of fixed terrestrial macro base s…