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Machine Learning Based Channel Modeling for Vehicular Visible Light Communication.

, and . IEEE Trans. Veh. Technol., 70 (10): 9659-9672 (2021)

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Minimum Length Scheduling for Discrete-Rate Full-Duplex Wireless Powered Communication Networks., , and . IEEE Trans. Wirel. Commun., 21 (1): 135-148 (2022)Location-Aware Adaptive Physical Layer Design for Vehicular Visible Light Communication., , , , , and . VNC, page 1-4. IEEE, (2019)A Unified Framework for Multi-Hop Wireless Relaying with Hardware Impairments., and . CoRR, (2023)Federated Channel Learning for Intelligent Reflecting Surfaces with Fewer Pilot Signals., , and . SAM, page 226-230. IEEE, (2022)Incorporation of Confidence Interval into Rate Selection Based on the Extreme Value Theory for Ultra-Reliable Communications., and . EuCNC, page 118-123. IEEE, (2022)Vehicular Visible Light Communications Noise Analysis and Autoencoder Based Denoising., , and . EuCNC, page 19-24. IEEE, (2022)Extreme Value Theory based Resource Allocation in Ultra-Reliable Wireless Networked Control Systems., and . BlackSeaCom, page 90-95. IEEE, (2024)Vehicular Visible Light Positioning for Collision Avoidance and Platooning: A Survey., , , , and . IEEE Trans. Intell. Transp. Syst., 25 (7): 6328-6344 (July 2024)Federated Learning in Vehicular Networks., , , , and . MeditCom, page 72-77. IEEE, (2022)Relay Selection and Throughput Maximization for Full Duplex Wireless Powered Cooperative Communication Networks., , and . PIMRC, page 360-365. IEEE, (2021)