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Characterizing Wireless Link Throughput with eBPF and Hardware Timestamps
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0002-3570-9525
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0003-3461-7079
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0001-7311-9334
2023 (English)In: 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Institute of Electrical and Electronics Engineers (IEEE), 2023, p. 302-308Conference paper, Published paper (Refereed)
Abstract [en]

With a growing user base and the deployment of new systems, such as 5G and Starlink, a deep understanding of the varying link throughput for wireless systems is highly important. While detailed analysis of link throughput can be done on packet traces, collecting extensive packet traces often faces storage and privacy challenges. Instead, we propose using traces of link-wide inter-packet delay (IPD) to enable highly granular link throughput characterization on a wider scale. To this end, we present an eBPF-based tool designed to capture IPDs, and evaluate the accuracy of captured IPDs with the IPD tool and tcpdump, both with and without access to hardware timestamps. While hardware provided timestamps provide accurate IPDs, we find that software based timestamps lead to IPD values which are very inaccurate, but still useful in aggregate form to characterize throughput at millisecond timescales. Furthermore, we show that concurrent packet processing incurs a significant amount of packet reordering, which necessitates the consideration of several previous packets when computing the link-wide IPD. Finally we present an example use case of IPD collection, characterizing frequent silent periods during a speedtest over a 5G link.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023. p. 302-308
National Category
Communication Systems
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-99067DOI: 10.1109/CAMAD59638.2023.10478419OAI: oai:DiVA.org:kau-99067DiVA, id: diva2:1847318
Conference
IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD). Edinburgh, Scottland. November 6-8 2023.
Available from: 2024-03-27 Created: 2024-03-27 Last updated: 2025-10-16Bibliographically approved

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Publisher's full textConference programhttps://ieeexplore.ieee.org/document/10478419

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Sundberg, SimonGarcia, JohanBrunstrom, Anna

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