[...] This paper presents AutoRAN, an automated, intent-driven framework for zero-touch provisioning of open, programmable cellular networks. Leveraging cloud-native principles, AutoRAN employs virtualization, declarative infrastructure-as-code templates, and disaggregated micro-services to abstract physical resources and protocol stacks. Its orchestration engine integrates Language Models (LLMs) to translate high-level intents into machine-readable configurations, enabling closed-loop control via telemetry-driven observability. Implemented on a multi-architecture OpenShift cluster with heterogeneous compute (x86/ARM CPUs, NVIDIA GPUs) and multi-vendor Radio Access Network (RAN) hardware (Foxconn, NI), AutoRAN automates deployment of O-RAN-compliant stacks-including OpenAirInterface, NVIDIA ARC RAN, Open5GS core, and O-RAN Software Community (OSC) RIC components-using CI/CD pipelines. Experimental results demonstrate that AutoRAN is capable of deploying an end-to-end Private 5G network in less than 60 seconds with 1.6 Gbps throughput, validating its ability to streamline configuration, accelerate testing, and reduce manual intervention with similar performance than non cloud-based implementations. With its novel LLM-assisted intent translation mechanism, and performance-optimized automation workflow for multi-vendor environments, AutoRAN has the potential of advancing the robustness of next-generation cellular supply chains through reproducible, intent-based provisioning across public and private deployments.
翻译:本文提出AutoRAN,一种自动化、意图驱动的框架,用于实现开放可编程蜂窝网络的零接触式部署。AutoRAN利用云原生原则,通过虚拟化、声明式基础设施即代码模板以及解耦的微服务,对物理资源和协议栈进行抽象。其编排引擎集成语言模型(LLMs),将高层意图转化为机器可读的配置,并通过遥测驱动的可观测性实现闭环控制。AutoRAN在多架构OpenShift集群上实现,该集群包含异构计算资源(x86/ARM CPU、NVIDIA GPU)和多厂商无线接入网络(RAN)硬件(富士康、NI)。通过CI/CD流水线,AutoRAN自动化部署符合O-RAN标准的协议栈,包括OpenAirInterface、NVIDIA ARC RAN、Open5GS核心网以及O-RAN软件社区(OSC)RIC组件。实验结果表明,AutoRAN能够在60秒内部署端到端私有5G网络,吞吐量达1.6 Gbps,验证了其在保持与非云化实现相近性能的同时,能够简化配置、加速测试并减少人工干预。凭借其新颖的LLM辅助意图转换机制以及针对多厂商环境的性能优化自动化工作流,AutoRAN有望通过跨公有和私有部署的可重复、基于意图的供应,提升下一代蜂窝供应链的稳健性。