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cs.NI2025
A Lightweight Coordinate-Conditioned Diffusion Approach for 6G C-V2X Radio Environment Maps
Liu Cao, Zhaoyu Liu, Dongyu Wei +3
Transmitter vehicles that broadcast 6G Cellular Vehicle-to-Everything (C-V2X)-based messages, e.g., Basic Safety Messages (BSMs), are prone to be impacted by PHY issues due to the…
cs.NI2025
LLP-V2X: Low Latency-Power Vehicular Networking Towards 6G V2X
Zhaoyu Liu, Liu Cao, Lyutianyang Zhang +3
The trade-off between energy and latency budgets is becoming significant due to the more stringent QoS requirements in 6G vehicular networks. However, comprehensively studying the…
cs.NI2025
EPFL-REMNet: Efficient Personalized Federated Digital Twin Towards 6G Heterogeneous Radio Environment
Peide Li, Liu Cao, Lyutianyang Zhang +3
Radio Environment Map (REM) is transitioning from 5G homogeneous environments to B5G/6G heterogeneous landscapes. However, standard Federated Learning (FL), a natural fit for this…