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Control and Management of a Connected Car Using SDN/NFV, Fog Computing and YANG data models.

, , , , , , , and . NetSoft, page 378-383. IEEE, (2018)

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5G Connected and Automated Driving: Use Cases and Technologies in Cross-border Environments., , , and . EuCNC, page 78-82. IEEE, (2019)SYSTAS: Density-based algorithm for clusters discovery in wireless networks., , , , and . PIMRC, page 2126-2131. IEEE, (2015)5G V2V Communication With Antenna Selection Based on Context Awareness: Signaling and Performance Study., , , , , , and . IEEE Trans. Intell. Transp. Syst., 23 (2): 1044-1057 (2022)Feedback-based learning for self-managed network elements., , , , and . Integrated Network Management, page 666-669. IEEE, (2011)A Deep Learning Approach for Distributed QoS Prediction in Beyond 5G Networks., , , , , , and . PIMRC, page 1407-1412. IEEE, (2022)5G V2X System-Level Architecture of 5GCAR Project., , , , , , and . Future Internet, 11 (10): 217 (2019)Embedding cognition in wireless network management: an experimental perspective., , , , , and . IEEE Commun. Mag., 50 (12): 150-160 (2012)An experimental path towards Self-Management for Future Internet Environments., , , , , , and . Future Internet Assembly, page 95-104. IOS Press, (2010)Enabling Real-Time Context-Aware Collaboration through 5G and Mobile Edge Computing., , , , , , and . ITNG, page 601-605. IEEE Computer Society, (2015)A Statistical Learning Framework for QoS Prediction in V2X., , , and . 5GWF, page 441-446. IEEE, (2021)