Guest Editors
Prof. Gyu Myoung Lee
Email: g.m.lee@ljmu.ac.uk
Affiliation: School of Computer Science and Mathematics, Liverpool John Moores University, L2 2ER, Liverpool, United Kingdom
Homepage:
Research Interests: 5G beyond and 6G, AIoT
Dr. Upul Jayasinghe
Email: upuljm@eng.pdn.ac.lk
Affiliation: Department of Computer Engineering, University of Peradeniya, 20400, Peradeniya, Sri Lanka
Homepage:
Research Interests: AI, computer vision, networks
Dr. Ehsan Ahvar
Email: ehsan.ahvar@nokia.com
Affiliation: Cloud Infrastructure Management, Nokia, 91460, Nozay, France
Homepage:
Research Interests: 5G byeond and 6G, AIoT
Summary
The rapid evolution of artificial intelligence (AI) and large language models (LLMs) is revolutionizing network systems, enabling intelligent, agentic frameworks that boost connectivity, efficiency, and innovation. This special issue emphasizes the transformative impact of these technologies on network infrastructure, performance, and service innovation, addressing the needs of modern ecosystems.
Aim and Scope
This special issue aims to delve into the potential of agentic AI powered autonomous networks and LLM-based multi-agent systems within the networking and AI-driven telecommunications sector, encouraging innovative research that integrates advanced computing, big data, and network intelligence. The scope encompasses studies on designing multi-agent systems for autonomous network management, leveraging LLMs for traffic optimization, and enhancing AI-driven telecommunication infrastructure through AI-driven solutions. It welcomes novel approaches in autonomous operations, digital twin integration, open ecosystem collaboration, cybersecurity, software-defined networking, and high-performance computing tailored to network.
Suggested Themes
• AI-driven optimization of network systems
• LLM-powered multi-agent systems for network orchestration
• Intelligent traffic management
• Cybersecurity enhancements in agentic AI powered autonomous networks
• Agentic big data analytics for autonomous network management
• Digital twin simulations for network design and operations
• Open ecosystem collaboration for network innovation
• Software-defined networking with AI and LLM integration
• High-performance computing for intelligent network applications
Keywords
AI, LLM, Agentic AI, Cybersecurity, Big Data Analytics, Digital Twins, Network Optimization, Autonomous Network Management
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