From RAN Control to Agentic Intelligence: Architecture and Vision for Energy Efficient AI-RAN
Future 6G networks will rely on highly distributed, AI-native Radio Access Networks (RANs), where communication and AI workloads share a common infrastructure. This evolution, combined with increasing deployment density and continuous AI processing, is expected to significantly increase RAN energy consumption. While Open RAN (O-RAN) introduces a programmable and modular control framework through the RAN Intelligent Controller (RIC) and Service Management and Orchestration (SMO), current approaches remain largely policy-driven, limiting adaptive energy-aware coordination across multiple applications. In parallel, AI-RAN promotes the convergence of AI and RAN infrastructures through AI-for-...
| Authors | Sabrine Aroua, Alexis I. Aravanis, Ilias Chatzistefanidis et al. |
|---|---|
| Primary category | cs.NI |
| Published | 20 June 2026 |
| Last updated at source | 20 June 2026 |
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