基于O-RAN的非地面网络:趋势与挑战

Riccardo Campana, Carla Amatetti, A. Vanelli-Coralli
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引用次数: 3

摘要

虽然5G网络已经部署用于商业应用,但学术界和工业界正将精力集中在下一代移动网络的开发和标准化上,即5G- advance和6G。超5G网络将彻底改变通信系统,在时间和空间上提供无缝连接,形成一个由数字、物理和人类领域融合组成的独特生态系统。在这种情况下,非地面网络(NTN)将发挥关键作用,提供无处不在、安全和弹性的基础设施,完全集成到整个系统中。NTN节点将被组织成多层多维(ML-MD)架构。这个ML-MD网络将依赖于非常不同的网络元素的互操作性,通过网络组件的分解和虚拟化实现,它们通过开放标准接口互连,并由数据驱动的网络人工智能进行编排。这种范例已由O-RAN联盟标准化,目前正在地面网络(tn)中实施,但尚未在NTN中得到充分解决。因此,本文旨在探索基于O-RAN方法的NTN基础设施的可能实现。通过回顾tn和飞行平台中O-RAN的最新技术,我们确定了基于O-RAN的NTN系统的可能架构解决方案,并预测了将提高NTN系统效率的O-RAN实施趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
O-RAN based Non-Terrestrial Networks: Trends and Challenges
While 5G networks are already being deployed for commercial applications, Academia and industry are focusing their effort on the development and standardization of the next generations of mobile networks, i.e., 5G-Advance and 6G. Beyond 5G networks will revolutionize communications systems providing seamless connectivity, both in time and in space, to a unique ecosystem consisting of the convergence of the digital, physical, and human domains. In this scenario, Non-Terrestrial Networks (NTN) will play a crucial role by providing ubiquitous, secure, and resilient infrastructure fully integrated into the overall system. The NTN nodes will be organized into a Multi-Layer Multi-dimensional (ML-MD) architecture. This ML-MD network will rely on the interoperability of very different network elements, enabled by the disaggregation and virtualization of network components, their interconnection by open standard interfaces and orchestrated by data-driven network Artificial Intelligence. This paradigm, which has been standardized by the O-RAN Alliance, is now being implemented in Terrestrial Networks (TNs) but has not been fully addressed in NTN, yet. Therefore, this paper aims at exploring the possible implemen-tation of an NTN infrastructure based on the O-RAN approach. By starting with the review of the State of the Art of O-RAN in TNs and flying platforms, we identify a possible architecture solution for an O-RAN-based NTN system and we foresee the O-RAN implementation trends that will increase the NTN system efficiency.
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