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The forthcoming 6G wireless networks are evolving from traditional connection-oriented systems into intelligent infrastructures that seamlessly integrate communications, sensing, and computing. A key enabler of this transformation is Agentic Artificial Intelligence (AI), which combines perception, reasoning, memory, and autonomous decision-making. Unlike conventional AI-assisted methods, Agentic AI emphasizes proactivity, adaptability, and context-awareness, enabling networks to continuously learn, interact, and evolve with dynamic service demands and environmental conditions. Conversely, the increasing complexity, diversity, and scale of intelligent wireless networks provide rich data, feedback, and interaction contexts that further enhance the learning, adaptability, and decision-making capabilities of Agentic AI. This bidirectional relationship allows Agentic AI to evolve alongside the network while the network itself becomes progressively more autonomous and intelligent. By embedding Agentic AI, 6G networks will be able to autonomously manage communication strategies, support multi-agent collaboration, and execute tasks in a goal-driven manner. These capabilities are essential for achieving real-time adaptability and cross-domain intelligence, empowering networks to interpret and transmit meaningful information, negotiate and coordinate across agents, and achieve self-optimization. Collectively, this ushers in a new paradigm of resilient, goal-oriented wireless intelligence.

Nevertheless, realizing Agentic AI in 6G networks also presents significant challenges. These include the computational and energy overheads associated with complex cognitive decision-making; interoperability gaps between agent-based frameworks and traditional communication protocols; and the lack of domain-specific benchmarks for communications. Addressing these challenges will be essential for building scalable, reliable, and trustworthy agent-driven wireless networks.

This special issue aims to bring together cutting-edge research and industrial practices to advance the theory, technologies, and applications of Agentic AI in intelligent wireless networks. It will provide a timely platform for researchers to discuss architectural paradigms, algorithmic frameworks, prototype validations, and practical standards required for the deep integration of Agentic AI and 6G in the future. Topics of interest include, but are not limited to:

• Agentic AI for Semantic and Goal-Oriented Communications
• Agentic AI for Digital Twins, Extended Reality, and Metaverse
• Agentic AI for Autonomous Resource Allocation and Energy Efficiency Management
• Agentic AI for Multi-Agent Collaboration in Wireless Networks
• Agentic AI for Cross-Domain Agent Interactions in Integrated Space–Air–Ground–Sea Networks
• Agentic AI for Security, Privacy, and Trust Mechanisms in Multi-Agent Communication Systems
• Agentic AI for Intent-Driven and Self-Optimizing Network Operations
• Agentic AI for Wireless Communication Benchmarks, Datasets, and Testbeds
• Agentic AI in 6G Standardization Progress and Industrial Practices
• Agentic AI for Wireless Task Planning and Tool Invocation via Model Context Protocol
• Agentic AI for Network Modeling, Topology Evolution, and Theoretical Performance Analysis
• Agentic AI for Protocol Design, Network Dynamics, and Methodological Frameworks
• Contextual Engineering for Agent-Driven Wireless Intelligence
• Agent Protocols for Distributed Intelligence
• Internet of Agents: Architectures and Applications

Submission Guidelines

Prospective authors are invited to submit their manuscripts electronically, adhering to the IEEE Transactions on Network Science and Engineering guidelines. Note that the page limit is the same as that of regular papers. Please submit your papers through the online system, and be sure to select the special issue or special section name. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts, to the ScholarOne portal. If requested, abstracts should be sent by email directly to the Guest Editors.

Important Dates

Manuscript Submission: 1 May 2026
First Review Round: 1 August 2026 
Revision Papers Due: 1 September 2026
Acceptance Notification: 1 October 2026
Final Manuscript Due: 15 October 2026
Publication Date: First Quarter 2027

Guest Editors

Feibo Jiang (Lead Guest Editor), Hunan Normal University, China
Ruichen Zhang, Nanyang Technological University, Singapore
Yonghui Li, University of Sydney, Australia
Rahim Tafazolli, University of Surrey, UK
Eirini Eleni Tsiropoulou, Arizona State University, USA