mlsanityData to 7 Oct 2026

AI-RAN: Transforming RAN with AI-driven Computing Infrastructure

arXiv 2501.09007 ↗First posted 15 Jan 2025cs.AI cs.NI eess.SPcited by 14

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Abstract (arXiv)

The radio access network (RAN) landscape is undergoing a transformative shift from traditional, communication-centric infrastructures towards converged compute-communication platforms. This article introduces AI-RAN which integrates both RAN and artificial intelligence (AI) workloads on the same infrastructure. By doing so, AI-RAN not only meets the performance demands of future networks but also improves asset utilization. We begin by examining how RANs have evolved beyond mobile broadband towards AI-RAN and articulating manifestations of AI-RAN into three forms: AI-for-RAN, AI-on-RAN, and AI-and-RAN. Next, we identify the key requirements and enablers for the convergence of communication and computing in AI-RAN. We then provide a reference architecture for advancing AI-RAN from concept to practice. To illustrate the practical potential of AI-RAN, we present a proof-of-concept that concurrently processes RAN and AI workloads utilizing NVIDIA Grace-Hopper GH200 servers. Finally, we conclude the article by outlining future work directions to guide further developments of AI-RAN.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). Builds on 3 of its 18 references that are in the map. First posted on arXiv 15 Jan 2025.

Builds on

3 of 18 references.

References · 3

  1. 2020Toward a 6G AI-Native Air Interfacecited by 54
  2. 2020Intelligence and Learning in O-RAN for Data-driven NextG Cellular Networkscited by 45
  3. 2023Hardware Acceleration for Open Radio Access Networks: A Contemporary Overviewcited by 4

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 5; 2026: 9.

14 papers.

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  1. 2025Beyond Connectivity: An Open Architecture for AI-RAN Convergence in 6Gcited by 10
  2. 20266G Needs Agents: Toward Agentic AI-Native Networks for Autonomous Intelligencecited by 2
  3. 2025Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardizationcited by 1
  4. 2025Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMscited by 1
  5. 2026Quantization-Aware Collaborative Inference for Large Embodied AI Modelscited by 1
  6. 2025SCA-LLM: Spectral-Attentive LLM-Based Wireless World Modeling for Agentic Communicationscited by 0
  7. 2025DiffPace: Diffusion-based Plug-and-play Augmented Channel Estimation in mmWave and Terahertz Ultra-Massive MIMO Systemscited by 0
  8. 2026SLA-Aware Distributed LLM Inference Across Device-RAN-Cloudcited by 0
  9. 2026Orchestrating Multimodal DNN Workloads in Wireless Neural Processingcited by 0
  10. 2026Hierarchical Visual Agent: Managing Contexts in Joint Image-Text Space for Advanced Chart Reasoningcited by 0
  11. 2026Bridging the Cognitive Gap: A Unified Memory Paradigm for 6G Agentic AI-RANcited by 0
  12. 2026AI-RAN on NPUs: Baseband Processing Without Baseband Chipscited by 0
2 more
  1. 2026ImpactHO: Importance-Aware KV Cache Transfer for Multi-User Edge LLM Handovercited by 0
  2. 2026CRAFT: Fine-Tuning Pre-hoc Explainability in AI-native 6G RANcited by 0