Guest Editor(s)
Dr. Agbotiname Lucky Imoize
Email: aimoize@unilag.edu.ng
Affiliation: Department of Electrical and Electronics Engineering, Faculty of Engineering, University of Lagos, Lagos, Nigeria
Homepage:
Research Interests: wireless communications, wireless security systems, artificial intelligence, autonomous 6G systems
Prof. Olha Partyka
Email: olha.o.mykhailova@lpnu.ua
Affiliation: Department of Information Protection, Lviv Polytechnic National University, Lviv, Ukraine
Homepage:
Research Interests: artificial intelligence, wireless networks, cyber security, wireless and mobile security, IoT security, data protection and privacy, applied cryptography, AI/ML for threat detection, secure software systems, cloud security, vehicular security, and autonomous vehicles
Dr. Minh-Sang Van Nguyen
Email: sangnvm@ptit.edu.vn
Affiliation: Faculty of Telecommunications 2, Posts and Telecommunications Institute of Technology, Ho Chi Minh City, Vietnam
Homepage:
Research Interests: 6G wireless communications, artificial intelligence, wireless networks, network security systems, mobile communications, wireless computing, reconfigurable intelligent surfaces, backscatter communications, UAV communications, fountain codes
Prof. Dr. Yuichi Sei
Email: seiuny@uec.ac.jp
Affiliation: Department of Informatics, Graduate School of Informatics and Engineering, The University of Electro-Communications, Chōfu, Tokyo, Japan
Homepage:
Research Interests: privacy-preserving machine learning, trustworthy and reliable AI systems, multi-agent systems, anomaly and threat detection, wireless and mobile security, autonomous systems
Summary
Resilient and reliable autonomous 6G systems are critical to modern society. However, most autonomous systems still rely on legacy algorithms that perform poorly in real time. In 6G, systems with extremely low latency and high reliability are required to meet stringent quality-of-experience, sensing, and communications requirements. Currently, designing such systems can be quite challenging, expensive, and computationally intensive. To address this problem, this special issue proposes applying Artificial Intelligence (AI) to enable cutting-edge design of cost-effective, energy-efficient, resilient, and reliable autonomous systems.
This special issue focuses on employing artificial intelligence to empower resilient and reliable autonomous systems such as self-driving vehicles, cognitive robotic systems, aerial drones, and various industrial control systems. In particular, the special issue aims to provide a forum for collecting the latest research findings and high-quality works on the novel applications of artificial intelligence in empowering resilient and reliable autonomous systems.
Topics include, but are not limited to:
· AI-enabled resilient autonomous 6G systems
· Information analysis in resilient autonomous 6G systems
· Reinforcement learning for self-healing autonomous 6G systems
· AI for uncertainty-aware monitoring of autonomous 6G systems
· Data-centric ML resilience in autonomous 6G systems
· Network security and threat modeling in autonomous 6G systems
· Novel models for cyber-physical resiliency in autonomous 6G systems
· AI for privacy-preserving learning in autonomous 6G systems
· Adaptive threat response in autonomous 6G systems
· AI-assisted network reliability analysis in autonomous 6G systems
· AI-assisted fault diagnosis, prognosis, and recovery in autonomous 6G systems
· Novel testbeds, benchmarks, and performance evaluation in autonomous 6G systems
Keywords
6G wireless networks, artificial intelligence, machine learning, internet of things, autonomous communications, flying networks, wireless communications, vehicular security systems, security and privacy, threat modeling, energy efficiency, ultra-reliable low latency communications, wireless network reliability, robotic systems, industrial control systems, cyber-physical resiliency, wireless network security, resilient systems, robust wireless systems, data protection.
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