6G非地面网络中延迟感知和资源高效的VNF布局

Yi Yue, Xiongyan Tang, W. Yang, Xuebei Zhang, Zhiyan Zhang, Chuyang Gao, Lexi Xu
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引用次数: 0

摘要

虚拟网络功能(VNF)在ntn中的放置具有挑战性,因为非地面网络(ntn),如卫星网络,在计算能力和速率方面的资源有限。然而,现有的解决方案没有考虑卫星的资源约束和链路的带宽约束,这是设计ntn中VNF放置策略的基本指标。利用网络功能虚拟化(Network Function Virtualization, NFV)技术将相关网络业务部署在VNFs中的卫星上是一种合理的方式。本文重点研究了延迟感知VNF在6G ntn中的放置,以满足不同应用的超低延迟需求。此外,我们还考虑如何提高服务器的资源利用率,以消除资源受限的6G NTN设施的资源瓶颈。然后,我们将VNF放置问题表述为一个加权图匹配问题,以最大限度地提高资源利用率。我们提出了基于线性规划的算法和基于匈牙利的算法来解决VNF的放置问题。评估结果表明,我们提出的解决方案在资源利用率和执行时间方面优于基准测试。
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Delay-aware and Resource-efficient VNF placement in 6G Non-Terrestrial Networks
Virtual Network Function (VNF) placement in NTNs is challenging because Non-Terrestrial Networks (NTNs), such as satellite networks, have limited resources regarding computational power and rate. However, existing solutions do not consider satellites’ resource constraints and the bandwidth constraints of links, which are essential metrics for designing VNF placement strategies in NTNs. Utilizing Network Function Virtualization (NFV) technology to deploy related network services on satellites in VNFs is a reasonable way. This paper focuses on delay-aware VNF placement in 6G NTNs to meet the ultra-low delay requirements of different applications. In addition, we also consider how to improve the resource utilization of servers to eliminate the resource bottlenecks of resource-constrained 6G NTN facilities. Then we formulate the VNF placement problem as a weighted graph-matching problem, aiming to maximize resource utilization. We propose the Linear Programming based algorithm and the Hungarian-based algorithm to solve the VNF placement problem. Evaluation results show that our proposed solutions outperform the benchmarks regarding resource utilization and execution time.
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