{"id":222,"date":"2026-04-22T15:03:12","date_gmt":"2026-04-22T15:03:12","guid":{"rendered":"https:\/\/nof.dnac.org\/2026\/?page_id=222"},"modified":"2026-04-22T15:03:12","modified_gmt":"2026-04-22T15:03:12","slug":"win-2026","status":"publish","type":"page","link":"https:\/\/nof.dnac.org\/2026\/win-2026\/","title":{"rendered":"WIN 2026"},"content":{"rendered":"

6th<\/span> International Workshop on Intent-based Networking (WIN 2026)<\/strong><\/span><\/h2>\n

Intent Based Networking (IBN) focuses on technology-agnostic, flexible and robust interactions between network infrastructure management and operating systems and their users. One of the main goals of IBN is the lifecycle automation and deployment acceleration of communication services and applications. As such, IBN articulates various mechanisms to recognize, understand, augment and refine intents based on service and operational requests.<\/p>\n

Intent-based systems continuously strive to fulfill and assure service and network operation within the expected qualitative and performance boundaries, thanks to reliable system feedback.<\/p>\n

The concept of IBN appeared in the 2010\u2019s with a focus on automated policy configuration. IBN now reaches out to versatile applications and services deployed over heterogeneous digital communication infrastructures. A core challenge of IBN solutions is the stretch between generalization of the application scope (potentially spanning horizontally and vertically end-to-end through networks) and the need to run in a well-defined network scope and associated knowledge domains, while preserving enough flexibility.<\/p>\n

The goal of this workshop is to gather research and experiments from industry, academia, standards and open-source works, to get a sense of IBN technology maturity, areas that require further exploration, development and validation. To this end, the workshop will cover IBN aspects of all domains including applications, concepts, lifecycle, challenges, architectures, modeling, instantiation, robustness, etc.<\/p>\n

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Topics of interest include and are not limited to:<\/strong><\/p>\n

\u25cf IBN concepts, architectures, and frameworks<\/p>\n

\u25cf IBN enabling techniques: knowledge graphs, natural languages understanding, policy refinement, feedback control loops, smart telemetry, etc.<\/p>\n

\u25cf IBN support by machine learning and artificial intelligence<\/p>\n

\u25cf IBN applications and use cases, including scenarios combining digital infrastructures and vertical industries<\/p>\n

\u25cf IBN proof-of-concepts, experimentations; report on field trials and real-world deployments<\/p>\n

\u25cf IBN and digital twins<\/p>\n

\u25cf IBN implementations, tools, and user interface design<\/p>\n

\u25cf IBN applications for 5G, 5G-Advanced and 6G networks<\/p>\n

\u25cf IBN and cybersecurity<\/p>\n

\u25cf Enabling technologies for IBN: Generative AI and Large Language Models (LLM)<\/p>\n

\u25cf IBN and VANETs<\/p>\n

\u25cf Intent modeling, representation, languages, and intent translation techniques<\/p>\n

\u25cf Intent and intent-related information models (policies and services)<\/p>\n

\u25cf Intent recognition, recommendation, and abstraction techniques<\/p>\n

\u25cf Intent assurance and assessment<\/p>\n

\u25cf Availability, resiliency, performance, trust, and security considerations in IBN<\/p>\n

\u25cf Interfaces and API for intent-based systems<\/p>\n

\u25cf Recent advances on IBN in standards and open source<\/p>\n

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Submission Guidelines<\/span><\/h3>\n

Authors are invited to submit novel contributions, which are not under review in any other conference or journal, to: https:\/\/edas.info\/N35282<\/a><\/p>\n

Technical papers must be formatted using the IEEE 2-column format and not exceed 7 pages (including references).<\/p>\n

Accepted papers will be included in NoF 2026 proceedings and indexed in IEEEXplore library.<\/p>\n

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Important dates<\/strong><\/span><\/h3>\n