Fourth International Workshop on Autonomous Network Management Systems (ANMS 2025)

@ ICDCS 2025 - 20th July 2025, Glasgow, Scotland

Call for Papers

Beyond 5G and 6G wireless systems are expected to handle significantly increased data rates, provide ultra-low latency and enhanced connectivity to massive numbers of devices, and bring improvements in network energy efficiency. This new generation of networking systems aims to be fully autonomous networks (AN) with management capabilities, such as self-configuration, self-healing, self-optimizing, and self-evolving aspects, that today’s networks do not support as their management is largely manual with some automated assistance.

This workshop focuses on novel research in algorithms, architectures, approaches, and applications in the autonomous management of 5G and 6G systems. We encourage original paper submissions from academia and industry presenting work in progress or novel research on the most recent advances, frameworks, models, and approaches for management of autonomous networks using enabling techniques, such as AI/ML, network digital twins, network programmability, network softwarization, network function virtualization, software-defined networking, and blockchain. We are also interested in articles revising the state-of-the-art of this topic, showing recent major advances and discoveries, significant gaps in the research, current standardization status, and new future issues, especially related to sustainability.

We invite submissions of original research papers, as well as vision papers and experience reports.

Important Dates

  • Submission deadline: Feburary 24th, 2025 March 16th, 2025
  • Notification to authors: April 2nd, 2025
  • Camera-ready deadline: April 16th, 2025
  • Workshop: July 20th, 2025 (Program)

All times in Anywhere on Earth (AoE) timezone.

Topics

The aim of the workshop is to share new findings, exchange ideas and discuss research challenges on the following topics (not an exhaustive list):

  • Self-* techniques of network management in AN
  • Architectures and frameworks to integrate AI natively in AN, including distributed solutions
  • Decentralised and distributed AI for management and operation in AN
  • Network resource and service automation and orchestration in AN - Network state prediction and forecasting for AN
  • Network monitoring systems (traffic recognition, anomaly detection, etc.) for AN
  • Intelligent network service provisioning and assurance in AN
  • Methods and algorithms for resource allocation and usage in AN
  • AN management in resource-constrained environments
  • Adaptation and customization of AI for constrained devices (e.g. edge) for control in AN
  • Efficient resource allocation and scheduling (e.g., spectrum, storage, compute) in AN
  • Tools, simulators, or network digital twins for planning, validation, and what-if analysis in AN
  • Generation and use of knowledge-graphs for AN use cases
  • Taxonomies of explainability of AI decisions for AN use cases
  • The role and usefulness of LLM’s in AN and intent
  • Novel contributions on low carbon and sustainability in AN
  • Blockchain and distributed ledger technology for AN management and trust
  • Security provision and its integration with AN
  • End-to-end management of AN
  • Autonomous management of access and interaction for the radio spectrum
  • Autonomous management via AI-native approaches and use cases across the network
  • Interplay between Data Quality and performance of AI-based solutions in ANs
  • Evaluation of Data Quality in ANs Benchmarks

Organizers

Paul Harvey

Miguel Camelo

Francesc Wilhelmi

Program Committee (TBC)

Adnan Shahid

Albert Bel

Andreas Gavrielides

Andres Garcia Saavedra

Antonio Bazco-Nogueras

Anubhab Banerjee

Chia-Yu Chang

Danny De Vleeschauwer

Esra Aycan Beyazıt

Esteban Municio

Gianluca Fontanesi

Gines Garcia Aviles

Jordi Serra

Juan Felipe Botero

Laurent Ciavaglia

Leon Wong

Livia Elena Chatzieleftheriou

Luca Cominardi

Marco Gramaglia

Michele Gucciardo

Natalia Gaviria Gomez

Nina Slamnik-Krijestorac

Paola Soto Arenas

Paolo Dini

Pere Vilà

Philip Rodgers

Ryo Yanagida

Sergio Barrachina-Muñoz

Program

(more info about the venue here)

Schedule

Time Title Details

TBD

Author Submission Information

Authors are invited to submit original and unpublished work, not be submitted concurrently for publication elsewhere.

All paper submissions should follow the IEEE 8.5″ x 11″ two-column format using 10pt fonts and the IEEE Conference template (downloadable by selecting “Conferences” in the IEEE-Template Selector). Each submission can have up to six (6) pages (including figures, tables, appendices, and references). Papers exceeding this page limit or with smaller fonts will be desk-rejected without review.

Submission is via EasyChair.

Once logged in (registration may be required), click on “New submission” (in the menu, top-left) and select “ANMS Workshop”.

Paper review process is double-blind. Authors are required to take all reasonable steps to preserve the anonymity of their submission. While authors can upload their paper to institutional or other preprint repositories (e.g. arXiv.org) before reviewing is complete, we generally discourage this since it places anonymity at risk. In this case, please use a different title and abstract.

To encourage reproducibility, we encourage the authors, whenever it is possible, to include in their paper a link to an anonymised GitHub repository with all source code, scripts and data needed for the reproduction of their results. 

For each accepted paper, at least one author is required to pay a full author registration and attend the conference in-person to present their work on-site. Any no-show papers will be reported to the publisher and removed from the conference proceedings. For authors with multiple papers accepted by the conference, a separate author registration is required for each paper. 

Note that the authors should adhere to ethic and professional standards of IEEE. Please refer to IEEE Code of Ethics and IEEE Policy of AI-Generated Text. 

Previous Editions

  • ANMS 2022 can be found here
  • ANMS 2023 can be found here
  • ANMS 2024 can be found here