International Conference on Future and Intelligent Networking (FINE 2026)

August 26-28, 2026 · Osaka, Japan.

https://ieee-fine.org/2026/

Call for Papers

FINE 2026 aims at bringing together interested parties (universities, research centers, industries and stakeholders) from around the world working in the fields of future and intelligent networking to exchange opinions, discuss brand-new ideas, developing innovative and emerging solutions, and establishing new collaborations.

Scope and Objectives

Future Networks, Artificial Intelligence (AI), and 6G are three of the most fields of technology, which develop independently yet integrated with one another. The FINE represents the emerging networking technologies, integration of AI technologies into network systems, and supporting network technologies for future mobile communications. The topics of interests are covered by the following tracks:

Track 1: Future Mobile and Wireless Networks (6G, NTN, Extreme Network, Wi-Fi 8+)

Track 2: Open and Intelligent RAN (Open-RAN, vRAN, AI-RAN)

Track 3: Network Softwarization and Programmable Infrastructure

Track 4: AI for Network Design, Control, and Operations

Track 5: Network Automation, Analytics, and Management

Track 6: Internet of AI Agents, Embodied AI Networks, and Network for AI

Track 7: Semantic Communications, Immersive and Tactile Networking

Track 8: Cloud–Edge–Device Computing and Network–Compute Co-Design

Track 9: IoT, Vehicular, and Industrial Networking Systems

Track 10: Security, Trust, Privacy, and Network Resilience

Track 1: Future Mobile and Wireless Networks (6G, NTN, Extreme Network, Wi-Fi 8+)(Track CFP)

Architectures, protocols, and technologies for next-generation mobile and wireless systems. Topics include 6G visions, satellite constellations, HAPS, UAV networks, maritime communications, and integrated space–air–ground–sea networks; advanced Wi-Fi, spectrum innovation, massive MIMO, and ultra-reliable low-latency wireless access.

Track Chairs:

• Frank Fitzek, TU Dresden, Germany
• Imran Shafique Ansari, University of Glasgow, U.K.
• Raffaele Bruno, CNR, Italy
• Gianluca Rizzo, Universita' di Torino, Italy

Track 2: Open and Intelligent RAN (Open-RAN, vRAN, AI-RAN) (Track CFP)

Focuses on open, virtualized, and intelligent radio access networks. Topics include RAN disaggregation, Open-RAN interfaces, AI-native RAN Intelligent controlers, interoperability, and performance optimization.

Track Chairs:

• Paolo Bellavista, University of Bologna, Italy
• Rasheed Hussain, University of Bristol, U.K.
• Fatemeh Afghah, Clemson University, USA

Track 3: Network Softwarization and Programmable Infrastructure (Track CFP)

Network Function Virtualization (NFV), Software-Defined Networking (SDN), programmable data planes, network slicing, and cloud-native network functions. Focus on flexible, software-defined and service-oriented networking.

Track Chairs:

• Dimitrios Pezaros, University of Glasgow, U.K.
• Ricard Vilalta, CTTC, Spain

Track 4: AI for Network Design, Control, and Operations (Track CFP)

AI and machine learning techniques applied to network optimization and automation. Topics include routing, congestion control, admission policies, resource management, self-driving networks, and closed-loop operations. Focus on intelligent, autonomous, and data-driven networking systems.

Track Chairs:

• Rodolfo Coutinho, Concordia University, Canada
• Alessio Sacco, Politecnico di Torino, Italy
• Jérémie Leguay, Nokia Bell Labs, France

Track 5: Network Automation, Analytics, and Management (Track CFP)

Covers network signaling, monitoring, telemetry, observability, analytics, digital twins, and zero-touch operations. Emphasis on operational intelligence, lifecycle automation, and data-driven network management.

Track Chairs:

• Engin Zeydan, CTTC, Spain
• Leonardo Maccari, Ca' Foscari University of Venice, Italy

Track 6: Internet of AI Agents, Embodied AI Networks, and Network for AI (Track CFP)

Networking foundations for agentic and embodied AI systems, as well as network architectures and protocols supporting AI workloads. Topics include Internet of AI Agents, multi-agent coordination, embodied AI communication, swarm systems, robot networks, digital–physical interaction, and agent-centric architectures; data center networks, CDN and network cache allocation, AI fabrics, distributed training/inference, RDMA, in-network computing, and scalable interconnects.

Track Chairs:

• Stefano Salsano, University of Rome Tor Vergata, Italy
• Zhiqing Tang, Beijing Normal University, China
• Nirmala Shenoy, Rochester Institute of Technology, USA

Track 7: Semantic Communications, Immersive and Tactile Networking (Track CFP)

Goal-oriented and semantic-aware communications, AI-native protocol design, foundation models for networks, and post-Shannon communication paradigms. Networking support for immersive and interactive applications such as XR, metaverse, tactile Internet, and content-centric networking.

Track Chairs:

• Zhiyi Tian, Southeast University, China
• Nikolaos Pappas, Linköping University, Sweden

Track 8: Cloud–Edge–Device Computing and Network–Compute Co-Design (Track CFP)

Integrated networking and computing across cloud, edge, and devices. Topics include orchestration, service placement, latency-aware networking, and compute–network co-optimization. Focus on joint design of communication and computation infrastructures.

Track Chairs:

• Moez Esseghir, University of Technology of Troyes, France
• Virginia Pilloni, University of Cagliari, Italy
• Huijun Tang, Durham University, U.K.

Track 9: IoT, Vehicular, and Industrial Networking Systems (Track CFP)

Covers networking for cyber-physical systems, including IoT, V2X, autonomous systems, intelligent transportation systems, industrial networks, and Internet of sounds. Emphasis on scalability, determinism, reliability, and real-time communication.

Track Chairs:

• Theofanis Raptis, National Research Council (CNR), Italy
• Wanqing Tu, Durham University, U.K.
• Jose Neuman De Souze, Federal University of Ceara, Brazil
• Rahim Kacimi, Université de Toulouse, France

Track 10: Security, Trust, Privacy, and Network Resilience (Track CFP)

Covers security architectures, zero-trust networking, privacy-preserving communication, blockchain and distributed ledgers, and resilience against failures and attacks. Focus on trustworthy, robust, and secure network infrastructures.

Track Chairs:

• Zheng Yan, Xidian University, China
• Kuan-Ching Li, Providence University, Taiwan
• Kapal Dev, Munster Technological University Ireland, Ireland
• Junaid Farooq, University of Michigan-Dearborn, USA

Paper Submission and Publication

Details of paper submission and publication can be found here.

Organization Committee

Details of organization committee can be found here.