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Conference Paper: PhaseU: Real-time LOS identification with WiFi

TitlePhaseU: Real-time LOS identification with WiFi
Authors
Issue Date2015
Citation
Proceedings - IEEE INFOCOM, 2015, v. 26, p. 2038-2046 How to Cite?
AbstractWiFi technology has fostered numerous mobile computing applications, such as adaptive communication, finegrained localization, gesture recognition, etc., which often achieve better performance or rely on the availability of Line-Of-Sight (LOS) signal propagation. Thus the awareness of LOS and Non-Line-Of-Sight (NLOS) plays as a key enabler for them. Realtime LOS identification on commodity WiFi devices, however, is challenging due to limited bandwidth of WiFi and resulting coarse multipath resolution. In this work, we explore and exploit the phase feature of PHY layer information, harnessing both space diversity with antenna elements and frequency diversity with OFDM subcarriers. On this basis, we propose PhaseU, a real-time LOS identification scheme that works in both static and mobile scenarios on commodity WiFi infrastructure. Experimental results in various indoor scenarios demonstrate that PhaseU consistently outperforms previous approaches, achieving overall LOS and NLOS detection rates of 94.35% and 94.19% in static cases and both higher than 80% in mobile contexts. Furthermore, PhaseU achieves real-time capability with millisecond-level delay for a connected AP and 1-second delay for unconnected APs, which is far beyond existing approaches.
Persistent Identifierhttp://hdl.handle.net/10722/303468
ISSN
2023 SCImago Journal Rankings: 2.865
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWu, Chenshu-
dc.contributor.authorYang, Zheng-
dc.contributor.authorZhou, Zimu-
dc.contributor.authorQian, Kun-
dc.contributor.authorLiu, Yunhao-
dc.contributor.authorLiu, Mingyan-
dc.date.accessioned2021-09-15T08:25:22Z-
dc.date.available2021-09-15T08:25:22Z-
dc.date.issued2015-
dc.identifier.citationProceedings - IEEE INFOCOM, 2015, v. 26, p. 2038-2046-
dc.identifier.issn0743-166X-
dc.identifier.urihttp://hdl.handle.net/10722/303468-
dc.description.abstractWiFi technology has fostered numerous mobile computing applications, such as adaptive communication, finegrained localization, gesture recognition, etc., which often achieve better performance or rely on the availability of Line-Of-Sight (LOS) signal propagation. Thus the awareness of LOS and Non-Line-Of-Sight (NLOS) plays as a key enabler for them. Realtime LOS identification on commodity WiFi devices, however, is challenging due to limited bandwidth of WiFi and resulting coarse multipath resolution. In this work, we explore and exploit the phase feature of PHY layer information, harnessing both space diversity with antenna elements and frequency diversity with OFDM subcarriers. On this basis, we propose PhaseU, a real-time LOS identification scheme that works in both static and mobile scenarios on commodity WiFi infrastructure. Experimental results in various indoor scenarios demonstrate that PhaseU consistently outperforms previous approaches, achieving overall LOS and NLOS detection rates of 94.35% and 94.19% in static cases and both higher than 80% in mobile contexts. Furthermore, PhaseU achieves real-time capability with millisecond-level delay for a connected AP and 1-second delay for unconnected APs, which is far beyond existing approaches.-
dc.languageeng-
dc.relation.ispartofProceedings - IEEE INFOCOM-
dc.titlePhaseU: Real-time LOS identification with WiFi-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/INFOCOM.2015.7218588-
dc.identifier.scopuseid_2-s2.0-84951019622-
dc.identifier.volume26-
dc.identifier.spage2038-
dc.identifier.epage2046-
dc.identifier.isiWOS:000370720100228-

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