ZEUS: An Experimental Toolkit for Evaluating Congestion Control Algorithms in 5G Environments
Rohail Asim, Muhammad Khan, Luis Diez, Shiva Iyer, Ramon Aguero,, Lakshmi Subramanian, Yasir Zaki

TL;DR
This paper introduces Zeus, an open-source 5G network emulation platform, to evaluate congestion control algorithms, revealing their performance challenges and impact on cross traffic in diverse 5G conditions.
Contribution
Zeus provides a simple, accessible, and reproducible testbed for evaluating congestion control algorithms in 5G environments, addressing a key gap in current testing tools.
Findings
Existing algorithms struggle to perform well in highly variable 5G channels.
Zeus enables consistent testing of congestion control algorithms in 5G.
Harm metric reveals significant detriment to TCP Cubic in 5G environments.
Abstract
As global cellular networks converge to 5G, one question lingers: Are we ready for the 5G challenge? A growing concern surrounds how well do existing congestion control algorithms perform in diverse 5G networks. Given that 5G networks are not yet widely deployed, assessing the performance of existing congestion control algorithms in realistic 5G settings presents several challenges. Moreover, existing network simulation and emulation environments are also not ideally suited to address the unique challenges of 5G network environments. Therefore, building a simple and easily accessible platform becomes crucial to allow testing and comparison of congestion control algorithms under different testing conditions. This paper makes two main contributions. First, we present Zeus, an open-source testbed that emulates 5G channels to evaluate congestion control algorithms in a repeatable and…
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Taxonomy
TopicsNetwork Traffic and Congestion Control · Software-Defined Networks and 5G · Internet Traffic Analysis and Secure E-voting
