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 softwarisation, 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 standardisation status, and new future issues, especially related to sustainability.

Topics of interest include:
• 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

Paper submissions must present original, unpublished research or experiences. Only original papers that have not been published or submitted for publication elsewhere can be submitted. Each submission must be written in English, accompanied by a 75 to 200 words abstract that clearly outlines the scope and contributions of the paper.
Maximum paper length is 6 pages (including title, abstract, all figures, tables, and references) for regular papers. Self-plagiarized papers will be rejected without further review. If authors decide to upload their paper to a preprint site, they must make sure that the title and abstract of their submission to ICDCS are different from the title and abstract of the preprint version, so that it is not immediately obvious that the two versions are by the same authors and with the same content. 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. 
Authors should submit their papers via EasyChair (selecting “ANMS workshop” as the track):
https://easychair.org/my/conference?conf=icdcsw2025