Wi-fi all-channel analyzer

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• dc.contributor.author Barrachina Muñoz, Sergio
• dc.contributor.author Bellalta, Boris
• dc.contributor.author Knightly, Edward
• dc.date.accessioned 2021-05-10T08:08:23Z
• dc.date.available 2021-05-10T08:08:23Z
• dc.date.issued 2020
• dc.description Comunicació presentada al MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, celebrat el 15 de setembre de 2020 a Londres, Regne Unit.
• dc.description.abstract In this paper, we present WACA, the first system to simultaneously measure the energy in all 24 Wi-Fi channels that allow channel bonding at 5 GHz with microsecond scale granularity. With WACA, we perform a first-of-its-kind measurement campaign in areas including urban hotspots, residential neighborhoods, universities, and a sold-out stadium with 98,000 fans and 12,000 simultaneous Wi-Fi connections. The gathered dataset is a unique asset to find insights otherwise not possible in the context of multi-channel technologies like Wi-Fi. To show its potential, we compare the performance of contiguous and non-contiguous channel bonding using a trace-driven framework. We show that while non-contiguous outperforms contiguous channel bonding's throughput, occasionally bigger by a factor of 5, their average throughputs are similar.en
• dc.description.sponsorship The work from S. BarrachinaMuoz and B. Bellalta has been partially supported by CISCO (CG#890107-SVCF), Maria de Maeztu Units of Excellence Programme (MDM-2015-0502), WINDMAL PGC2018- 099959-B-I00 (MCIU/AEI/FEDER,UE), and SGR-2017- 1188. The research of E. Knightly was supported by Cisco, Intel, and by NSF grants CNS-1955075 and CNS-1824529.
• dc.format.mimetype application/pdf
• dc.identifier.citation Barrachina-Muñoz S, Bellalta B, Knightly E. Wi-fi all-channel analyzer. In: MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking; 2020 Sep 15; London, UK. New York: ACM; 2020. p. 72-9. DOI: 10.1145/3411276.3412190
• dc.identifier.doi http://dx.doi.org/10.1145/3411276.3412190
• dc.identifier.uri http://hdl.handle.net/10230/47370
• dc.language.iso eng
• dc.publisher ACM Association for Computer Machinery
• dc.relation.ispartof MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking; 2020 Sep 15; London, UK. New York: ACM; 2020. p. 72-9
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PGC2018-099959-B-I00
• dc.rights © 2020 Association for Computing Machinery
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Channel bondingen
• dc.subject.keyword Measurement campaignen
• dc.subject.keyword Spectrum occupancyen
• dc.subject.keyword IEEE 802.11axen
• dc.subject.keyword Camp Nou stadiumen
• dc.title Wi-fi all-channel analyzeren
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/acceptedVersion