How Organic Networking meets 6G Campus Network Management Challenges
How Organic Networking meets 6G Campus Network Management Challenges
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有机网络如何应对 6G 园区网络管理挑战
DOI：
10.1109/icin56760.2023.10073499
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
F. Schreiner
中科院分区：
文献类型：
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作者：
M. Corici;Fabian Eichhorn;V. Gowtham;T. Magedanz;Elena;F. Schreiner
通过了解6G网络管理系统的需求并预测当前网络管理趋势需要如何发展，这项工作奠定了基础，并提供了基于AI/ML和Intent的有机网络管理的概述和架构。分析了即将到来的6G网络的当前愿景、当前预计在6G内使用的技术、预期的网络性能参数、目标6G用例和部署类型的共性。确定了有潜力应对所讨论的网络管理挑战的候选技术。我们概述了AI/ML如何用于自主网络管理，以及基于意图的网络如何提供改进管理和多因素网络优化所需的手段。接下来介绍了基于AI/ML和Intent的有机网络管理，并对其能力进行了概述。最后，我们给出了一个有机网络管理的参考实现。
By comprehending the requirements of 6G network management systems and by anticipating how current network management trends need to evolve, this work sets the floor and provides an overview and architecture for AI-/ML- and Intent-based organic network management. The commonalities of current visions of upcoming 6G networks, currently foreseen technologies to be utilized within 6G, anticipated network performance parameters, targeted 6G use cases and deployment types are analyzed. Candidate technologies that have the potential of meeting the discussed network management challenges, are identified. We provide an overview of how AI/ML is already used for autonomic network management and how Intent-based Networking provides the required means for improved administration and multi-factorial network optimizations. Next, the AI/ML and Intent-based organic network management is introduced, and an overview of its capabilities provided. Finally, we present an organic network management reference implementation.