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Ranging estimation error in WiFi devices running IEEE 802.11mc
dc.contributor.author | Martín Escalona, Israel |
dc.contributor.author | Zola, Enrica Valeria |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica |
dc.date.accessioned | 2021-03-04T09:28:19Z |
dc.date.issued | 2020 |
dc.identifier.citation | Martin-Escalona, I.; Zola, E. Ranging estimation error in WiFi devices running IEEE 802.11mc. A: IEEE Global Communications Conference. "IEEE Global Communications Conference (IEEE GLOBECOM 2020): Communications for Human and Machine Intelligence: Taipei, Taiwan: 7-11 december, 2020: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2020, p. 1-7. ISBN 978-1-7281-8299-5. DOI 10.1109/GLOBECOM42002.2020.9347973. |
dc.identifier.isbn | 978-1-7281-8299-5 |
dc.identifier.uri | http://hdl.handle.net/2117/340932 |
dc.description.abstract | Indoor positioning is still considered an open issue, especially when general-purpose communication networks are used to observe the metrics for positioning. IEEE 802.11mc aims at providing positioning capabilities to Wi-Fi networks. Google recently developed a feature aimed at making easy to run the standard in any Android device; however, only few access points (APs) officially support and advertise it. It is proven, though, that a bunch of APs are able to attend the location requests from 802.11mc devices despite not announcing their positioning capabilities. An application is proposed here that effectively gathers a list of all the APs that may collaborate in the indoor positioning process. This work is aimed at studying the performance of the location error in a real scenario where Android Wi-Fi devices run the IEEE 802.11mc positioning facility. The results demonstrate that, although errors are smaller than 2 meters as promised, the performance greatly depends on the AP and the frequency band used. |
dc.format.extent | 7 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament del senyal en les telecomunicacions |
dc.subject.lcsh | Geolocalització, Serveis de |
dc.subject.other | Performance evaluation |
dc.subject.other | Meters |
dc.subject.other | Channel estimation |
dc.subject.other | Distance measurement |
dc.subject.other | Internet |
dc.subject.other | Wireless fidelity |
dc.subject.other | Standards |
dc.subject.other | positioning |
dc.subject.other | location |
dc.subject.other | IEEE 02.11mc |
dc.subject.other | Wi-Fi |
dc.subject.other | RTT |
dc.subject.other | ranging error |
dc.title | Ranging estimation error in WiFi devices running IEEE 802.11mc |
dc.type | Conference report |
dc.subject.lemac | Location-based services |
dc.contributor.group | Universitat Politècnica de Catalunya. GRXCA - Grup de Recerca en Xarxes de Comunicacions Cel·lulars i Ad-hoc |
dc.identifier.doi | 10.1109/GLOBECOM42002.2020.9347973 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/9347973 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 30417260 |
dc.description.version | Postprint (author's final draft) |
dc.date.lift | 10000-01-01 |
local.citation.author | Martin-Escalona, I.; Zola, E. |
local.citation.contributor | IEEE Global Communications Conference |
local.citation.publicationName | IEEE Global Communications Conference (IEEE GLOBECOM 2020): Communications for Human and Machine Intelligence: Taipei, Taiwan: 7-11 december, 2020: proceedings |
local.citation.startingPage | 1 |
local.citation.endingPage | 7 |