Literature Database Entry

gowtham2025gnn-ative

Varun Gowtham, Osman Tugay Basaran, Abhishek Dandekar, Hanif Kukkalli, Florian Schreiner, Marius-Iulian Corici, Julius Schulz-Zander, Falko Dressler, Thomas Bauschert, Sławomir Stańczak and Thomas Magedanz, "GNN-ATIVE: An AI-native, Graph-based Orchestrator for Next-Generation Wireless Networks," Proceedings of IEEE Global Communications Conference (GLOBECOM 2025), Taipei, Taiwan, December 2025. (to appear)

Abstract

Traditional rule-based or static management approaches struggle to cope with the dynamic, multi-layered nature of 5G/6G networks, creating a strong motivation for AI-native solutions – management systems built from the ground up with artificial intelligence – to enable autonomous, real-time network control. In this work, we introduce GNN-ATIVE, an AI-native orchestration framework that leverages Graph Neural Networks (GNNs) and knowledge graphs (KGs) in a unified graph-based paradigm for network management. GNN-ATIVE uses a semantic knowledge graph to represent the network's state and context, employing standard ontologies to ensure consistency and interoperability. Building on this foundation, we design Knowledge Graph enabled Generative Pretrained Transformer (KG-GPT), a novel graph-to-graph Transformer model that performs knowledge-driven reasoning on the KG. KG ingests the structured network state (nodes, links, and attributes) and infers optimal configurations or management actions, serving as a high-level decision engine for the orchestrator. We implement and evaluate GNN-ATIVE on an Optical Transport Network (OTN) testbed using real network components. The results demonstrate that GNN-ATIVE can effectively manage OTN resources and adapt to network changes while achieving low-latency inference for decision making.

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Varun Gowtham
Osman Tugay Basaran
Abhishek Dandekar
Hanif Kukkalli
Florian Schreiner
Marius-Iulian Corici
Julius Schulz-Zander
Falko Dressler
Thomas Bauschert
Sławomir Stańczak
Thomas Magedanz

BibTeX reference

@inproceedings{gowtham2025gnn-ative,
    author = {Gowtham, Varun and Basaran, Osman Tugay and Dandekar, Abhishek and Kukkalli, Hanif and Schreiner, Florian and Corici, Marius-Iulian and Schulz-Zander, Julius and Dressler, Falko and Bauschert, Thomas and Sta{\'{n}}czak, Sławomir and Magedanz, Thomas},
    note = {to appear},
    title = {{GNN-ATIVE: An AI-native, Graph-based Orchestrator for Next-Generation Wireless Networks}},
    publisher = {IEEE},
    address = {Taipei, Taiwan},
    booktitle = {IEEE Global Communications Conference (GLOBECOM 2025)},
    month = {12},
    year = {2025},
   }
   
   

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