{"title":"MOVE-CU: multi-vendor OpenROADM enhances a virtual environment supporting remote CU-UP migration in a 5G radio network [Invited]","authors":"Abhishek Bhattacharyya;Linqi Xiao;Aparaajitha Gomathinayakam Latha;Muhammad Ridwanur Rahim;Nathan Ellsworth;Venkateswarlu Gudepu;Andrea Fumagalli;Koteswararao Kondepu","doi":"10.1364/JOCN.574058","DOIUrl":null,"url":null,"abstract":"Fifth-generation and beyond (B5G) networks must handle stringent requirements for ultra-low latency, high reliability, and dynamic service provisioning across decentralized environments. While container-based live migration has emerged as a flexible mechanism to ensure service continuity during failures and overload scenarios, most proposed approaches are reactive and lack integration with the transport layer and automation through real-time resource orchestration. This work presents a proactive migration framework that tightly couples a 5G radio access network (RAN) architecture with an OpenROADM-compliant optical transport network (OTN) testbed. By leveraging dynamic optical wavelength service creation and container-based network function virtualization, the presented framework enables seamless live migration of the gNB (next generation) central unit–user plane (CU-UP) between two remote locations without disconnecting the supported mobile services. A custom xApp within the near-real-time RAN intelligent controller (Near-RT RIC) monitors system performance metrics and employs predictive analytics to trigger the proactive CU-UP container migration ahead of a probable server overload scenario. A robot framework-based automation platform ensures coordinated orchestration between the compute and transport layer resource allocation to achieve a successful live migration of the container running the CU-UP. Experimental results confirm that the proposed approach achieves near-zero mobile user service downtime, demonstrating its effectiveness in meeting the end-to-end quality of service (QoS) requirements of B5G applications.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"17 11","pages":"E117-E128"},"PeriodicalIF":4.3000,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Optical Communications and Networking","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11197004/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
Fifth-generation and beyond (B5G) networks must handle stringent requirements for ultra-low latency, high reliability, and dynamic service provisioning across decentralized environments. While container-based live migration has emerged as a flexible mechanism to ensure service continuity during failures and overload scenarios, most proposed approaches are reactive and lack integration with the transport layer and automation through real-time resource orchestration. This work presents a proactive migration framework that tightly couples a 5G radio access network (RAN) architecture with an OpenROADM-compliant optical transport network (OTN) testbed. By leveraging dynamic optical wavelength service creation and container-based network function virtualization, the presented framework enables seamless live migration of the gNB (next generation) central unit–user plane (CU-UP) between two remote locations without disconnecting the supported mobile services. A custom xApp within the near-real-time RAN intelligent controller (Near-RT RIC) monitors system performance metrics and employs predictive analytics to trigger the proactive CU-UP container migration ahead of a probable server overload scenario. A robot framework-based automation platform ensures coordinated orchestration between the compute and transport layer resource allocation to achieve a successful live migration of the container running the CU-UP. Experimental results confirm that the proposed approach achieves near-zero mobile user service downtime, demonstrating its effectiveness in meeting the end-to-end quality of service (QoS) requirements of B5G applications.
期刊介绍:
The scope of the Journal includes advances in the state-of-the-art of optical networking science, technology, and engineering. Both theoretical contributions (including new techniques, concepts, analyses, and economic studies) and practical contributions (including optical networking experiments, prototypes, and new applications) are encouraged. Subareas of interest include the architecture and design of optical networks, optical network survivability and security, software-defined optical networking, elastic optical networks, data and control plane advances, network management related innovation, and optical access networks. Enabling technologies and their applications are suitable topics only if the results are shown to directly impact optical networking beyond simple point-to-point networks.