发表机构
i2CAT Foundation; Juniper Networks; UPC, ETSETB（i2CAT基金会; 瞻博网络; 加泰罗尼亚理工大学电子工程学院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对O-RAN闭环控制验证风险高、成本大的问题，本文提出模块化虚拟化数字孪生框架ONDT，实现xApp/rApp自动化接入、KPM收集与闭环验证，并在Juniper RIC和Keysight RICtest上验证其隔离可复现性。
AI 中文摘要
开放式无线接入网（O-RAN）架构通过近实时和非实时无线接入网智能控制器（RIC）扩展了下一代蜂窝网络的可编程性，使得由AI/ML驱动的xApp和rApp能够动态优化网络行为。然而，在真实环境中验证自动化闭环控制算法存在显著的运营风险和部署成本。为应对这一挑战，本文介绍了O-RAN数字孪生（ONDT），一个模块化、虚拟化且云原生的实验框架，作为SNS SUNRISE-6G项目中的6G使能器而开发。我们展示了ONDT架构及其端到端实验工作流，说明了该框架如何自动化符合O-RAN规范的rApp/xApp接入、RAN场景配置与初始化、关键性能指标（KPM）收集以及闭环控制验证。使用Juniper RIC平台和Keysight RICtest仿真框架进行的实验验证表明，ONDT能够为KPM监控、小区开/关控制、自动化数据集生成以及rApp/xApp验证提供隔离且可复现的环境。
英文摘要
Open Radio Access Network (O-RAN) architectures extend programmability in next-generation cellular networks through Near-Real-Time and Non-Real-Time RAN Intelligent Controllers (RICs), enabling AI/ML-driven xApps and rApps to optimize network behavior dynamically. However, validating automated closed-loop control algorithms in live environments presents significant operational risks and deployment costs. To address this challenge, this paper introduces the O-RAN Digital Twin (ONDT), a modular, virtualized, and cloud-native experimentation framework developed as a 6G enabler within the SNS SUNRISE-6G project. We present the ONDT architecture and its end-to-end experimentation workflows, showing how the framework automates O-RAN-compliant rApp/xApp onboarding, RAN scenario configuration and initialization, Key Performance Metric (KPM) collection, and closed-loop control validation. Experimental validation using Juniper RIC platforms and the Keysight RICtest emulation framework demonstrates ONDT ability to provide an isolated and reproducible environment for KPM monitoring, cell ON/OFF control, automated dataset generation, and rApp/xApp validation.
Journal refIEEE 14th International Conference on Cloud Networking (CloudNet), 2026
