27th Conference on Innovation in Clouds, Internet and Networks

Intelligent network service management across the compute continuum

March 11-14, 2024
Paris, France

1st Workshop on iNtent drivEn autonomouS neTwORks (NESTOR)


The term “intent” in the autonomous network refers to the goal or the objective from the external customers and internal Operation and Management (O&M) personnel, which represents a set of business or operational requirements in the declarative form or even using the natural language. The intent facilitates the users to express their business objectives, business logic, constraints, etc. towards the communication networks; however, it does not specify the detailed implementation way.

Intent driven autonomous networks require an intent processing flow, starting from “natural language” input refining to machine understandable configurations with implementation agnostic “intent primitive”, and then to implement­ specific “executable policies” and “reliability configurations”. As the system evolves, such intent processing flow should be adaptive to the execution feedback and dynamically changing circumstances.

This releases the customers from the manual effort to manage all technical aspects of network services and reduces the network O&M burden to address potentially conflicting goals, which can provide the users with flexible and reliable network services, realize efficient utilization of network resources, and fully release the network potentials.

The workshop aims to bring together researchers from both academia and industry to investigate challenging aspects in intent-driven management for the 5G and the future 6G systems, as well as to identify future research directions. Open issues and key innovations will be discussed for aspects related to Intent-based network management. Authors are invited to submit original unpublished papers to this workshop. Topics include, but are not limited to:

  • Standardization of intent-based management for the telco cloud
  • Orchestration frameworks and intent-based management methodologies
  • Intent-driven management for the virtualised RAN
  • Intent-based management approaches in 5G and towards 6G communications
  • Application of intent-based management architectures and frameworks in telecom networks
  • Human-to-system intent interpretation through Natural Language Processing (NLP)
  • Machine-to-machine intent expression
  • Automated intent translation and policy generation
  • Automated intent/policy conflict detection and resolution
  • Automated intent monitoring and assurance
  • Knowledge-driven intent/policy management
  • AI-driven intent/policy management
  • Intent test and verification before activation
  • AI asset management for intent-driven autonomous networks
  • Emerging standards, technologies and advances on intent-driven management
  • Intent-driven management for real-time and deterministic communications
  • Coupling between Management Data Analytics (MDA) and intent-based management

Paper Submission Guidelines

Only PDF files will be accepted for the review process and all submissions must be done electronically through EDAS at: https://edas.info/N31731

Technical papers can be up to 6 pages, including tables, figures and references. All submissions must be written in English and must use a standard IEEE two-column conference template, available for download from https://www.ieee.org/conferences/publishing/templates.html.

At least one author is required to register, at the full rate, to present accepted papers at the workshop and for the paper to appear in the conference proceedings.


Important Dates

  • Paper submission deadline: December 21, 2023
  • Acceptance notification: January 15, 2024
  • Camera-ready paper submission: January 22, 2024
  • Workshop: March 11, 2024

Technical Program Committee members

(following the alphabetical order)

1Bruno ChatrasIndependent Expert
2Chungang YangXidian University, China
3Daniel CampsI2cat, Spain
4David BlaisonneauOrange
5Eric DebeauOrange
6Henry YuHuawei Canada
7Hui DengHuawei Technologies, China
8Jingyu WangBeijing University, China
9Joan TriayDOCOMO Euro-Labs, Germany
10Konstantinos KousiasUniversity of Oslo, Norway
11Kostas KatsalisDOCOMO Euro-Labs, Germany
12Lingli DengChina Mobile research Institute, China
13Pedro Braconnot VellosoCNAM, France
14Spyros DenazisUniversity of Patras, Greece
15Uwe RauschenbachNokia, Germany