PERSPECTIVE article
Front. Artif. Intell.
Sec. Machine Learning and Artificial Intelligence
Volume 8 - 2025 | doi: 10.3389/frai.2025.1621963
Towards Standardization of GenAI-Driven Agentic Architectures for Radio Access Networks
Provisionally accepted
- University of Leeds, Leeds, United Kingdom
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The adoption of Generative Artificial Intelligence (GenAI) in Radio Access Networks (RAN) presents new opportunities for automation and intelligence across network operations. GenAIpowered agents, leveraging Large Language Models (LLMs), can enhance planning, execution, and decision-making for orchestration and real-time optimisation of 6G networks. Standardising the implementation of the Agentic architecture for RAN is now essential to establish a unified framework for RANOps and AgentOps. One of the key challenges is to develop a blueprint that incorporates best practices for memory integration, tool generation, multi-agent orchestration, and performance benchmarking. This study highlights key areas requiring standardisation, including agent tool specifications, RAN-specific LLM fine-tuning, validation frameworks, and AI-friendly documentation. We propose a dedicated research initiative on GenAI-for-RAN and GenAI-on-RAN to address these gaps and advance AI-driven network automation.
Keywords: Generative Artificial Intelligence (GenAI), Radio access networks (RAN), Large Language Models (LLMs), 6G networks, standardization, Telecom, Agentic Architecture
Received: 02 May 2025; Accepted: 30 Jun 2025.
Copyright: © 2025 Nezami, Zaidi, Hafeez, Xu and Djemame. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Zeinab Nezami, University of Leeds, Leeds, United Kingdom
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