Journal Article10.1109/JPROC.2019.2954595
Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches
Fengxiao Tang,Yuichi Kawamoto,Nei Kato,Jiajia Liu +3 more
- 01 Feb 2020
- Vol. 108, Iss: 2, pp 292-307
606
TL;DR: A survey on various ML techniques applied to communication, networking, and security parts in vehicular networks and envision the ways of enabling AI toward a future 6G vehicular network, including the evolution of intelligent radio (IR), network intelligentization, and self-learning with proactive exploration.
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Abstract: As a powerful tool, the vehicular network has been built to connect human communication and transportation around the world for many years to come. However, with the rapid growth of vehicles, the vehicular network becomes heterogeneous, dynamic, and large scaled, which makes it difficult to meet the strict requirements, such as ultralow latency, high reliability, high security, and massive connections of the next-generation (6G) network. Recently, machine learning (ML) has emerged as a powerful artificial intelligence (AI) technique to make both the vehicle and wireless communication highly efficient and adaptable. Naturally, employing ML into vehicular communication and network becomes a hot topic and is being widely studied in both academia and industry, paving the way for the future intelligentization in 6G vehicular networks. In this article, we provide a survey on various ML techniques applied to communication, networking, and security parts in vehicular networks and envision the ways of enabling AI toward a future 6G vehicular network, including the evolution of intelligent radio (IR), network intelligentization, and self-learning with proactive exploration.
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Citations
Reinforcement Learning for Efficient and Fair Coexistence Between LTE-LAA and Wi-Fi
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Review and Perspectives on the Audit of Vehicle-to-Everything Communications
Chaima Zidi,Patrick Sondi,Nathalie Mitton,M. Wahl,Ahmed Meddahi +4 more
TL;DR: This paper proposes a review of the literature on vehicular communications, and explores particularly the solutions envisaged for audit in this context, such as the Blockchain technology, which should help in developing an effective Blockchain-based audit strategy.
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Blockchain-Envisioned Unmanned Aerial Vehicle Communications in Space-Air-Ground Integrated Network: A Review.
Zhonghao Wang,Fulai Zhang,Qiqi Yu,Tuanfa Qin +3 more
TL;DR: This review surveys UAV communications in the Space-Air-Ground Integrated Network (SAGIN), highlighting the need for a new architecture to meet emerging demands, and identifies promising open research topics in blockchain-envisioned UAV communications.
Autonomous Vehicles With a 6G-Based Intelligent Cybersecurity Model
TL;DR: In this paper , an intelligent cybersecurity model integrating intelligent features according to the emerging 6G-based technology based on evolving cyberattacks is presented, which provides quick and proactive decisions with intelligent cybersecurity based on 6G (IC6G) policies when AVs face cyberattacks.
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