… a scenario identification approach for intelligent vehicular communications. The identification
model is based on machine learning … For the vehicular communication system, the identi…

… Distributed learning and multi-agent cooperation for ML in vehicular networks In contrast
to traditional ML application scenarios, data in vehicular networks is generated and stored in …

… Machine learning mechanisms are characterized by the time change and are critical … -vehicle
network scenarios. This paper aims to provide theoretical foundations for machine learning …

… a vehicular scenario. We aim to efficiently predict the CSI of the mobile user based on the
machine learning … Once the machine learning model predicts the CSI, the cloud will feed back …

… mmWave in the dynamic vehicular communication and are not intelligent to adapt to
frequently changing vehicular scenario. In order to make the mmWave and the corresponding …

… This paper proposes an adaptable learning algorithm for mmWave vehicular scenarios in
which blockages and traffic are taken into account. Specifically, our algorithm does not require …

… vehicular networks, we also consider modern vehicular network architectures. We propose
a taxonomy of security attacks in vehicular … The platoon scenario is considered in this work …

… of mmWave vehicular communications. The dynamic nature of 5G vehicular scenarios, and
… To this aim, we propose the first online learning algorithm addressing the problem of beam …

… of high mobility vehicular networks and motivate the use of machine learning to address the
… of machine learning, we discuss its applications to learn the dynamics of vehicular networks …

… In order to realize fast AOA recognition in vehicular communication scenarios, this paper
proposes a method based on machine learning. The proposed method is divided into off-line …