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20222026
most citedLarge-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences

3 citations · 5 across the 11 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.NI2025

Joint Routing, Resource Allocation, and Energy Optimization for Integrated Access and Backhaul with Open RAN

Reshma Prasad, Maxime Elkael, Gabriele Gemmi +6

As networks evolve towards 6G, Mobile Network Operators (MNOs) must accommodate diverse requirements and at the same time manage rising energy consumption. Integrated Access and Ba…

cs.AI2025

AgentRAN: An Agentic AI Architecture for Autonomous Control of Open 6G Networks

Maxime Elkael, Salvatore D'Oro, Leonardo Bonati +4

Despite the programmable architecture of Open RAN, today's deployments still rely heavily on static control and manual operations. To move beyond this limitation, we introduce Agen…

cs.NI2025

ALLSTaR: Automated LLM-Driven Scheduler Generation and Testing for Intent-Based RAN

Maxime Elkael, Michele Polese, Reshma Prasad +2

The evolution toward open, programmable O-RAN and AI-RAN 6G networks creates unprecedented opportunities for Intent-Based Networking (IBN) to dynamically optimize RAN[...]. However…

cs.NI2025★ 1 cited

AutoRAN: Automated and Zero-Touch Open RAN Systems

Stefano Maxenti, Ravis Shirkhani, Maxime Elkael +4

[...] This paper presents AutoRAN, an automated, intent-driven framework for zero-touch provisioning of open, programmable cellular networks. Leveraging cloud-native principles, Au…

cs.NI2025★ 3 cited

Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences

Adnan Shahid, Adrian Kliks, Ahmed Al-Tahmeesschi +132

This white paper discusses the role of large-scale AI in the telecommunications industry, with a specific focus on the potential of generative AI to revolutionize network functions…