Agentic AI and Agentic Networking for Next-Generation Computer Networks
Tuesday, 2 June 2026, 9:00-12:30, room Sala 5 (1st floor)
Organisers
- Muhammad Awais Jadoon (InterDigital Europe Ltd, UK)
- Roberto Pereira (Centre Tecnològic de Telecomunicacions de Catalunya – CTTC, ES)
- Matteo Zecchin (EURECOM, FR)
- Mateus Pontes Mota (CEA-Leti, FR)
- Dariush Salami (Nokia Bell Labs, FI)
- Rasoul Behravesh (Net Reply, UK)
- Farhad Rezazadeh (Hostelworld, BrainOmega, UPC, ES)
Motivation and Background
The transition toward 6G marks a fundamental shift from connectivity-oriented networks to AI-native, autonomous, and goal-driven systems that tightly integrate communications, computing, and sensing. While 5G introduced AI-assisted functions, intelligence largely remains reactive, and constrained within predefined procedures, and current intelligence remains largely “plugin”: it can monitor and predict, but it typically cannot execute multi-step, autonomous closed loops across network domains and time scales.
Agentic AI introduces a disruptive paradigm for computer networks. Instead of treating AI as an external optimization tool, Agentic AI embeds autonomous, reasoning-capable AI agents directly into the network fabric. Such agents can perceive multimodal context, interpret intent, plan and execute actions, and coordinate with other agents across the network. This enables a transition from static, function-specific control loops to distributed, self-adaptive intelligence. Key areas of applicability are 6G-related services such as sensing, computing, and digital twins for vertical applications and network management.
In the context of computer networks, Agentic AI raises new architectural, protocol, and governance challenges. These include agent discovery and communication, exposure of network capabilities as agent tools, real-time coordination under strict latency constraints, safety and accountability of autonomous decisions, sustainability, and alignment with ongoing standardization efforts across bodies such as 3GPP, ITU, IETF and ETSI. Additional challenges include biased decision-making and unstable or unfair behaviour, which can be difficult to detect, correct, and govern.
This workshop aims to provide a focused forum on Agentic AI for next-generation computer networks, addressing both agents-for-network and network-for-agents perspectives. The scope includes architectures for agentic networking, agentic use cases, AI-native control and management, agent communication and orchestration, sustainability, and implications for standardization. By bringing together researchers, industry practitioners, and standards experts, the workshop seeks to identify research gaps, align emerging efforts, and outline a practical roadmap toward realizing agentic, AI-native networks.
Structure
Welcome by workshop moderator
First Session
Keynote talk, 25min + 5min Q&A
Riccardo Trivisonno, Chair of ITU-T FG AINN
Overview of the Focus Group on AI-Native Networks
Invited Talk 1, 12min + 3min Q&A
Lucía Cabanillas Rodríguez (Telefónica Innovación Digital)
Data as the Foundation for Growing Value
Invited Talk 2, 12min + 3min Q&A
Dr Sebastian Robitzsch (InterDigital Europe Ltd)
Challenges and Opportunities on Agentic Networking for AI Agents in 6G
Second Session
Invited Talk 3, 12min + 3min Q&A
Merim Dzaferagic (Trinity College Dublin, Ireland)
From Architecture to Deployment: Supporting Agentic AI Use Cases in Distributed 6G Networks
Invited Talk 5, 12min + 3min Q&A
Dr Davit Harutyunyan (Aigentifyable)
Agentic AI Networks: From Reactive Automation to Autonomous Intelligence
Invited Talk 6, 12min + 3min Q&A
Takai Kennouche (Nokia)
Title: Nokia Views on Agentic AI (tentative)
Invited Talk 4, 12min + 3min Q&A
Ricard Vilalta (CTTC)
Title: Collaborative Multi-Agent Systems for Self-Healing Transport Networks using TeraFlowSDN
Panel Discussion on Agentic AI and Agentic Networking, 20 min + 10min Q&A
Lessons learned and the way forward for Agentic AI in Computer Networks
