AI 中文总结
本研究基于O-RAN 5G网络的网络切片技术，部署开源BVLoS无人机系统，解决其可靠性问题，降低轨迹误差并将延迟控制在3GPP限值内，为BVLoS无人机运行提供可行方案。
AI 中文摘要
在从5G向6G过渡的诸多预期应用中，无人机超视距（BVLoS）运行已成为机器人互联网的重要使能技术。不过，BVLoS对技术的性能和可靠性提出了严格要求，还需要健全的监管框架，由此引发了安全方面的担忧。虽然当前5G技术有望满足吞吐量和延迟方面的性能要求，但针对如何在实践中实现完全可靠性的研究仍有所欠缺。为应对这一挑战，研究界正积极开展开源项目，以便在实际场景中进行实验验证。值得庆幸的是，新的开放无线接入网（O-RAN）标准正以集成化、原生化的方式为这类方法铺平道路。本研究部署了一套最先进的5G O-RAN开源BVLoS操作系统，报告了当前存在的局限性，并利用O-RAN原生具备的高级能力——网络切片（Slicing）来解决这些问题。我们提出的部署方案可将5G链路拥塞导致的轨迹误差降至最低，并将延迟控制在3GPP为BVLoS运行定义的限值以下。最后，我们探讨了未来的挑战，以及5G O-RAN赋能网络可能为BVLoS无人机运行带来的机遇。
英文摘要
Among the foretold claims of the transition from 5G to 6G, Beyond-Visual-Line-of-Sight (BVLoS) drone operation has emerged as a prominent Internet-of-Robots enabler. However, safety concerns have been raised since BVLoS imposes strict requirements on performance and dependability on the technology, and requires robust regulatory frameworks. While current 5G technologies promise to meet the performance requirements in terms of throughput and latency, there is a lack of studies regarding how to achieve full reliability in practice. To address this challenge, the research community is actively working on open-source projects that allow for experimental validation in the field. Fortunately, new Open RAN (O-RAN) standards are paving the way for such approaches in an integrated, native manner. In this work, we deploy a state-of-the-art 5G O-RAN open-source BVLoS operational system, report current limitations, and address them via advanced capabilities natively available in O-RAN: Slicing. Our proposed deployment minimizes trajectory errors due to 5G link congestion and keeps latency well below the 3GPP limits defined for BVLoS operation. Finally, we discuss on the challenges ahead and the opportunities that 5G O-RAN-enabled networks may bring to BVLoS drone operation.
Comments7 pages, 4 figures. Published in IEEE Network
Journal refIEEE Network, 2024
