CoGen-AI-FNC

    Scope of the workshop

    Coherent-Generative AI for Future Networks & Clouds (CoGen-AI-FNC)
    "The Reasoning Brain Above the Future Network and Cloud Controllers"

    Generative Agentic AI (GenAI) has rapidly emerged as a transformative paradigm that elevates Large Language Models (LLMs) from passive text generators to autonomous, goal-driven agents capable of perception, planning, and dynamic action execution. In addition, Coherent GenAI provides supervisory intelligence by maintaining persistent, evolving internal world models of the environment, networks, resources, agents, user intents, and policies. Coherent GenAI reasons over time, runs long-horizon plans, checks consequences against internal models, and orchestrates lower-layer controllers coherently. It sits above SDN/NFV/Cloud/Edge/K8s/5G/6G controllers, providing a global, semantic, model-driven brain.

    The potential of Coherent Generative AI lies in generating coherent network behaviors and communicating information and services in future networking, complementing the fundamental capability of bit transport. This workshop will provide a focused forum for the presentation and discussion of novel research and experimental results in native networking AI for future networks, with a focus on enhanced network performance and sustainability, efficient resource allocation optimisation across computation and communication domains, and enabling trusted real-time decision-making. We will investigate how breakthroughs in coherent & generative models can address challenges in future network specification, design, management, and operation, as well as the infrastructure required to support emerging coherent generative AI services.

    This workshop will be held exclusively in-person.

    Topics of interest:

    Topics of interest include, but are not limited to, the following:

    • CoherentGenAI native network & cloud architectures and operational paradigms
    • CoherentGenAI-enabled semantic and goal-oriented communication
    • Control, communication, coordination, orchestration, and management in Coherent GenAI infrastructures
    • CoherentGenAI models, methods, and tools in the transport, data, and management planes and operations
    • CoherentGenAI-driven network & service provisioning and orchestration
    • Energy-efficient AI CoherentGenAI-driven network & services
    • Lightweight CoherentGenAI models for resource-constrained network devices (IoT, edge)
    • CoherentGenAI models, methods, and tools in Core and RAN networks
    • CoherentGenAI models, methods, and tools for data networks, data management, and dataspaces
    • Network infrastructure design and resource management for CoherentGenAI agents
    • Security, privacy, and trust in CoherentGenAI-based Networks and Clouds
    • Reliability, robustness, and scalability in CoherentGenAI-based Networks and Clouds
    • CoherentGenAI as a Service
    • Examining the ethical implications of CoherentGenAI-based networks

    Important Dates

    • Paper submission deadline: March 22, 2026 April 7, 2026  April 14, 2026 (AoE) - Firm
    • Notification of acceptance: April 21st, 2026  April 28, 2026
    • Camera-ready deadline: April 30th, 2026 May 4, 2026
    • Workshop date: May 24th

    Paper submission

    Submitted papers should be written in English by following the IEEE conference format (double-column, 10pt font), with a maximum length limit of 6 (six) printed pages, including all figures, references, and appendices.

    Papers should be submitted through EDAS in PDF format through the following link: EDAS

    Only original papers that have not been published or submitted for review elsewhere will be considered for publication in the proceedings.

    Papers will appear in the conference proceedings and will be submitted for inclusion into IEEE Xplore, subject to meeting IEEE Xplore’s scope and quality requirements.

    At least one author of each accepted paper is required to register and present the work in the workshop.

    A single-blind review process will be followed.

    Workshop Organizing Team

    • Workshop Organizers
      • Prof. Alex Galis, University College London, UK
      • Dr. David Zhe Lou, Huawei Technologies Düsseldorf GmbH, Germany
      • Prof. Stefano Secci, Conservatoire National des Arts et Métiers (Cnam), France
      • Dr. Luis Miguel Contreras, Telefónica, Spain

    TPC Members

    • Prof. Alex Galis, University College London, UK
    • Dr. David Zhe Lou, Huawei Technologies Düsseldorf GmbH, Germany
    • Prof. Stefano Secci, Conservatoire National des Arts et Métiers (Cnam), France
    • Dr. Luis Miguel Contreras, Telefónica, Spain
    • Dr. Stuart Clayman, University College London, UK
    • Prof. Walter Cerroni, University of Bologna, Italy
    • Prof. Filip De Turck, Ghent University, Belgium
    • Dr. Aitor Allcazar Fernández, Telefónica, Spain
    • Dr. Sebastian Gallenmüller, Technical University of Munich, Germany
    • Adj. Prof. Ilias Sakellariou, University of Macedonia, Greece
    • Prof. Panagiotis Papadimitriou, University of Macedonia, Greece
    • Prof. Christian Esteve Rothenberg, University of Campinas, Brazil
    • Prof. Xavier Masip Bruin, Universitat Politècnica de Catalunya, Spain
    • Prof. Joan Serrat, Universitat Politècnica de Catalunya, Spain
    • Prof. Noura Limam, University of Waterloo, Canada
    • Prof. Qiang Duan, Pennsylvania State University, USA
    • Prof. Roch Glitho, Concordia University, Canada
    • Dr. David Griffin, University College London, UK
    • Prof. Jahangir Hossain, University of North Texas, USA