Guest Editor(s)
Prof. Dr. Byung-Seo Kim
Email: jsnbs@hongik.ac.kr
Affiliation: Department of Software Convergence and Communication Engineering, Sejong Campus, Hongik University, Seou, South Korea
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Research Interests: medium access control (MAC) protocols in wireless/wired networks, cross layer design (physical and MAC layers) for wireless networks, 5th generation communication/network technologies, LTE-unlicensed spectrum, mobile/wireless content centric networks (CCN), future internet and home automation Technologies, power line communication
Dr. Ali Muhammad Nadeem
Email: nadeem@hongik.ac.kr
Affiliation: Department of Software Convergence and Communication Engineering, Sejong Campus, Hongik University, Seou, South Korea
Homepage:
Research Interests: named data network, wireless communication system, edge computing, intelligent transport system, artificial intelligence and their applications
Dr. Muhammad Imran
Email: imran@hit.edu.cn
Affiliation: School of Information Science and Technology, Harbin Institute of Technology, Shenzhen, China
Homepage:
Research Interests: wireless communication and networking, IoT, edge/cloud computing, ICN/NDN, and future networks, network protocol design, AI-centric intelligent networking, and reinforcement learning
Summary
The rapid evolution of AI-native networks is transforming future communication and computing infrastructures by embedding intelligence directly into network operations, management, and service delivery. Emerging paradigms such as Agentic AI, Quantum-Inspired Learning, and Distributed Intelligence offer unprecedented opportunities to enable autonomous decision-making, adaptive optimization, and self-managing network ecosystems.
This Special Issue aims to explore the theoretical foundations, architectures, algorithms, and real-world applications of autonomous decision-making in AI-native networks. Particular emphasis is placed on intelligent agents capable of perception, reasoning, planning, and autonomous action, as well as quantum-inspired techniques for optimization, resource allocation, and large-scale decision-making. The issue also welcomes contributions on distributed intelligence frameworks that support scalable, resilient, secure, and energy-efficient networked systems.
Suggested Themes
• Autonomous Decision-Making-based Networking
• Intent-based Networking
• Quantum-Inspired Machine Learning
• Distributed Agent Coordination for Network Management
• Future Internet Architectures
• Edge-Cloud Continuum and Intelligent Computing
• Network Automation and Intelligent Management
• Cybersecurity for Autonomous Systems
• Intelligent Applications and Digital Ecosystems
• Multi-agent Reinforcement Learning-based Network Optimization
Keywords
autonomous decision-making, AI-native networks, quantum-inspired learning, distributed intelligence, multi-agent systems, federated learning, edge intelligence, network automation, intelligent orchestration, 6G networks, future internet architecture, digital twins, trustworthy AI.
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