Demystifying Resource Allocation Policies in Operational 5G mmWave Networks

Phuc Dinh, Moinak Ghoshal, Dimitrios Koutsonikolas, Joerg Widmer
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引用次数: 5

Abstract

5G mmWave is being rapidly deployed by all major mobile operators. With the technology still in its infancy, several early research works analyze the performance of operational 5G mmWave networks. Nonetheless, these measurement studies primarily focus on single-user performance, leaving the sharing and resource allocation policies largely unexplored. In this paper, we fill this gap by conducting the, to our best knowledge, first systematic study of resource allocation policies of current 5G mmWave mobile network deployments through an extensive measurement campaign across four major US cities and two major mobile operators. Our study reveals that resource allocation among multiple flows is strictly governed by the cellular operators and flows are not allowed to compete with each other in a shared queue. Operators employ simple threshold-based policies and often over-allocate resources to new flows with low traffic demands or reserve some capacity for future usage. Interestingly, these policies vary not only among operators but also for a single operator in different cities. We also discuss a number of anomalous behaviors we observed in our experiments across different cities and operators.
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5G运营毫米波网络资源分配策略揭秘
5G毫米波正在被所有主要移动运营商快速部署。由于该技术仍处于起步阶段,一些早期研究工作分析了可操作的5G毫米波网络的性能。尽管如此,这些度量研究主要关注单用户性能,使得共享和资源分配策略在很大程度上未被探索。在本文中,我们通过在美国四个主要城市和两家主要移动运营商进行广泛的测量活动,对当前5G毫米波移动网络部署的资源分配政策进行了首次系统研究,以填补这一空白。我们的研究表明,多个流之间的资源分配是由蜂窝运营商严格控制的,并且不允许流在共享队列中相互竞争。运营商采用简单的基于阈值的策略,通常会将资源过度分配给低流量需求的新流量,或者保留一些容量以供将来使用。有趣的是,这些政策不仅在运营商之间不同,而且在不同城市的单一运营商之间也不同。我们还讨论了我们在不同城市和运营商的实验中观察到的一些异常行为。
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