Literature Database Entry

basaran2025xai-on-ran

Osman Tugay Basaran and Falko Dressler, "XAI-on-RAN: Explainable, AI-native, and GPU-Accelerated RAN Towards 6G," Proceedings of 39th Conference on Neural Information Processing Systems (NeurIPS 2025), Workshop on AI and ML for Next-Generation Wireless Communications and Networking (AI4NextG 2025), San Diego, CA, December 2025.

Abstract

Artificial intelligence (AI)-native radio access networks (RANs) will serve vertical industries with stringent requirements: smart grids, autonomous vehicles, remote healthcare, industrial automation, etc. To achieve these requirements, modern 5G/6G design increasingly leverage AI for network optimization, but the opacity of AI decisions poses risks in mission-critical domains. These use cases are often delivered via non-public networks (NPNs) or dedicated network slices, where reliability and safety are vital. In this paper, we motivate the need for transparent and trustworthy AI in high-stakes communications (e.g., healthcare, industrial automation, and robotics) by drawing on 3rd generation partnership project (3GPP)’s vision for non-public networks. We design a mathematical framework to model the trade-offs between transparency (explanation fidelity and fairness), latency, and graphics processing unit (GPU) utilization in deploying explainable AI (XAI) models. Empirical evaluations demonstrate that our proposed hybrid XAI model xAI-Native, consistently surpasses conventional baseline models in performance.

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Osman Tugay Basaran
Falko Dressler

BibTeX reference

@inproceedings{basaran2025xai-on-ran,
    author = {Basaran, Osman Tugay and Dressler, Falko},
    title = {{XAI-on-RAN: Explainable, AI-native, and GPU-Accelerated RAN Towards 6G}},
    publisher = {Curran Associates Inc.},
    address = {San Diego, CA},
    booktitle = {39th Conference on Neural Information Processing Systems (NeurIPS 2025), Workshop on AI and ML for Next-Generation Wireless Communications and Networking (AI4NextG 2025)},
    month = {12},
    year = {2025},
   }
   
   

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Last modified: 2026-01-23