Agentic AI-RAN Empowering Synergetic Sensing, Communication, Computing, and Control
Lingxiao Sun, Zhaoyang Zhang, Zihan Lin, Zirui Chen, Weijie Zhou, Zhaohui Yang, and Tony Q. S. Quek

TL;DR
This paper introduces an autonomous, task-oriented AI-powered radio access network architecture for low-altitude UAV operations in 6G, demonstrating integrated sensing, communication, computing, and control with real-world prototype results.
Contribution
It proposes a novel holistic AI-RAN architecture for coordinated SC3 tasks at the network edge, and demonstrates a prototype system for autonomous drone navigation using GPU resources.
Findings
Achieves low latency and robust communication in dynamic environments
Demonstrates stable performance with resource isolation and real-time inference
Validates the system's viability for mission-critical 6G low-altitude networks
Abstract
Future sixth-generation (6G) networks are expected to support low-altitude wireless networks (LAWNs), where unmanned aerial vehicles (UAVs) and aerial robots operate in highly dynamic three-dimensional environments under stringent latency, reliability, and autonomy requirements. In such scenarios, autonomous task execution at the network edge demands holistic coordination among sensing, communication, computing, and control (SC3) processes. Agentic Artificially Intelligent Radio Access Networks (Agentic AI-RAN) offer a promising paradigm by enabling the edge network to function as an autonomous decision-making entity for low-altitude agents with limited onboard resources. In this article, we propose and design a task-oriented Agentic AI-RAN architecture that enables SC3 task execution within a single edge node. This integrated design tackles the fundamental problem of coordinating…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsUAV Applications and Optimization · IoT and Edge/Fog Computing · Opportunistic and Delay-Tolerant Networks
