… to apply advanced machine learning into vehicular communications and … in the vehicular
network for solving communication challenges. Then, we investigate the ML-based approaches …

… Employing machine learning into 6G vehicular networks to … DRL approaches to address
emerging issues in 6G vehicular … signals by evolving into intelligent and autonomous radios, but …

… grid system from any security threats which can damage this … on machine learning approaches
are able to protect the smart … , ‘‘Machine learning based channel modeling for vehicular …

… -sharing methods are necessary for the coexistence of future terahertz … Toward 6G, the concept
of a “super IoT” has been proposed … may allow future 6G networks to learn from uncertain …

… recent advances made toward enabling 6G systems. We … approach might not be feasible for
many machine learning … However, 6G smart applications enabled by machine learning have …

… Furthermore, we examine the potential challenges that future … the overall efficiency of the
network towards a specific objective, it … RL-based methods to control the underwater vehicle by …

… for DL methods for security issues in vehicular networks as … trained DL methods for 6G security
applications. Table 3 … traffic network and does not mention the use of machine learning to …

… integrated approach combining QC into machine learning to … and beyond 5G networks
towards 6G have seen innovative-… as software-defined networking, vehicular networks, multi-user …

… Recently, machine learning (ML) is a powerful technique to … optimization and advanced
ML approaches, especially a deep … future research directions for 5G and toward 6G vehicular …

… We propose future directions toward the realization of a … on quantum communication and
Machine Learning, blockchain, … or down-top approaches, in this paper, the 6G technology is …