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dc.contributor.authorDinh, Phuc
dc.contributor.authorGhoshal, Moinak
dc.contributor.authorHan, Yunmeng
dc.contributor.authorFeng, Yufei
dc.contributor.authorKoutsonikolas, Dimitrios
dc.contributor.authorWidmer, Joerg 
dc.date.accessioned2025-01-13T16:10:00Z
dc.date.available2025-01-13T16:10:00Z
dc.date.issued2025-01
dc.identifier.urihttps://hdl.handle.net/20.500.12761/1885
dc.description.abstractFive years after the initial 5G rollout, several research works have analyzed the performance of operational 5G mmWave networks. However, 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 first systematic study, to our best knowledge, 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 observe in our experiments across different cities and operators.es
dc.language.isoenges
dc.publisherIEEE/ACMes
dc.titleDemystifying Resource Allocation Policies in Operational 5G mmWave Networkses
dc.typejournal articlees
dc.journal.titleIEEE/ACM Transactions on Networkinges
dc.rights.accessRightsopen accesses
dc.description.refereedTRUEes
dc.description.statusinpresses


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