Intent-Driven LEO Satellite Networks Resource Management

Yuqi Wang, Kang Guo, Ningyuan Wang, Zhaotao Qin, Xi Zhong, Xiaodong Han
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Abstract

The development of Low-Earth-Orbit (LEO) satellite networks, which provide a novel networking paradigm for achieving full-time seamless and global coverage, has attracted considerable research attention recently. In the dynamic and complex LEO satellite networks, intelligent and efficient resource management strategies are crucial in the case of limited resources. In this paper, we focus on the resource management of LEO satellite networks. We consider combining an intent-driven network with resource management in LEO satellite networks. First, we establish a heterogeneous resource management model for LEO satellite networks. Second, we design an intent-driven resource management framework to improve the utilization of limited resources. Third, we use heterogeneous resource management strategies to solve resource management problems. Finally, we use a specific scenario to illustrate the application of this framework.
意图驱动的低轨道卫星网络资源管理
近地轨道(LEO)卫星网络的发展为实现全时无缝和全球覆盖提供了一种新的网络模式,近年来引起了广泛的研究关注。在动态复杂的低轨道卫星网络中,在资源有限的情况下,智能高效的资源管理策略至关重要。本文主要研究低轨道卫星网络的资源管理问题。我们考虑将低轨道卫星网络中的意图驱动网络与资源管理相结合。首先,建立了低轨道卫星网络异构资源管理模型。其次,我们设计了一个意图驱动的资源管理框架,以提高有限资源的利用率。第三,采用异构资源管理策略解决资源管理问题。最后,我们使用一个特定的场景来说明这个框架的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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