An Openairinterface-Based Programmable and Flexible Platform for Cybertwin Network
With the rapid development of the Internet of Everything (IoE) and its applications, modern networks face unprecedented challenges in scalability, mobility, availability, and security that cannot be effectively addressed by traditional architectures. Cybertwin networks have emerged as a promising next-generation paradigm, enabling a shift from conventional end-to-end connections to cloud-to-end models. As digital representations of human users and devices in cyberspace, Суbertwins facilitate communication, log network behavior, and manage digital assets, providing a flexible, scalable, and secure foundation for future network evolution. In this paper, we present a Programmable and Flexible Platform for Cybertwin Networks (PFPCTN), an OpenAirInterface (OAI)-based, fully software-defined 5G testbed deployed at our laboratory. Designed to explore Cybertwin-enabled wireless network architectures, PFPCTN integrates open-source, programmable components spanning the entire network stack, from the Physical (PHY) layer to the Core Network (CN). The system leverages Cybertwin technology to optimize real-time resource management, enhance security, and improve network intelligence by providing flexible interfaces for AI/ML models and other optimization algorithms in service provisioning. By incorporating multi-vendor softwaredefined radio (SDR) hardware, including four USRP X410 devices and a dedicated 5G CN, the platform demonstrates scalable, high-performance private 5G capabilities. Experimental results indicate that PFPCTN supports stable connectivity for up to four Cybertwin-assisted devices (CTs) and achieves over 100 Mbps downlink throughput on a 40 MHz carrier, confirming its potential for next-generation network deployments.
Authors
- Zhihui Wu (ORCID: https://orcid.org/0000-0002-8207-792X)
- Hui Liang (ORCID: https://orcid.org/0000-0001-6632-0929)
- Enjin Zhou
Institutions
- Dongguan University of Technology (CN)
Publication Details
- Published
- 2025-06-17
- DOI
- https://doi.org/10.1109/vtc2025-spring65109.2025.11174585
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00