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Conference Paper: LiFi: Line-Of-Sight identification with WiFi

TitleLiFi: Line-Of-Sight identification with WiFi
Authors
Issue Date2014
Citation
Proceedings - IEEE INFOCOM, 2014, p. 2688-2696 How to Cite?
AbstractWireless LANs, especially WiFi, have been pervasively deployed and have fostered myriad wireless communication services and ubiquitous computing applications. A primary concern in designing each scenario-tailored application is to combat harsh indoor propagation environments, particularly Non-Line-Of-Sight (NLOS) propagation. The ability to distinguish Line-Of-Sight (LOS) path from NLOS paths acts as a key enabler for adaptive communication, cognitive radios, robust localization, etc. Enabling such capability on commodity WiFi infrastructure, however, is prohibitive due to the coarse multipath resolution with mere MAC layer RSSI. In this work, we dive into the PHY layer and strive to eliminate irrelevant noise and NLOS paths with long delays from the multipath channel responses. To further break away from the intrinsic bandwidth limit of WiFi, we extend to the spatial domain and harness natural mobility to magnify the randomness of NLOS paths while retaining the deterministic nature of the LOS component. We prototype LiFi, a statistical LOS identification scheme for commodity WiFi infrastructure and evaluate it in typical indoor environments covering an area of 1500m2. Experimental results demonstrate an overall LOS identification rate of 90.4% with a false alarm rate of 9.3%. © 2014 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/303428
ISSN
2023 SCImago Journal Rankings: 2.865
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhou, Zimu-
dc.contributor.authorYang, Zheng-
dc.contributor.authorWu, Chenshu-
dc.contributor.authorSun, Wei-
dc.contributor.authorLiu, Yunhao-
dc.date.accessioned2021-09-15T08:25:17Z-
dc.date.available2021-09-15T08:25:17Z-
dc.date.issued2014-
dc.identifier.citationProceedings - IEEE INFOCOM, 2014, p. 2688-2696-
dc.identifier.issn0743-166X-
dc.identifier.urihttp://hdl.handle.net/10722/303428-
dc.description.abstractWireless LANs, especially WiFi, have been pervasively deployed and have fostered myriad wireless communication services and ubiquitous computing applications. A primary concern in designing each scenario-tailored application is to combat harsh indoor propagation environments, particularly Non-Line-Of-Sight (NLOS) propagation. The ability to distinguish Line-Of-Sight (LOS) path from NLOS paths acts as a key enabler for adaptive communication, cognitive radios, robust localization, etc. Enabling such capability on commodity WiFi infrastructure, however, is prohibitive due to the coarse multipath resolution with mere MAC layer RSSI. In this work, we dive into the PHY layer and strive to eliminate irrelevant noise and NLOS paths with long delays from the multipath channel responses. To further break away from the intrinsic bandwidth limit of WiFi, we extend to the spatial domain and harness natural mobility to magnify the randomness of NLOS paths while retaining the deterministic nature of the LOS component. We prototype LiFi, a statistical LOS identification scheme for commodity WiFi infrastructure and evaluate it in typical indoor environments covering an area of 1500m2. Experimental results demonstrate an overall LOS identification rate of 90.4% with a false alarm rate of 9.3%. © 2014 IEEE.-
dc.languageeng-
dc.relation.ispartofProceedings - IEEE INFOCOM-
dc.titleLiFi: Line-Of-Sight identification with WiFi-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/INFOCOM.2014.6848217-
dc.identifier.scopuseid_2-s2.0-84904437852-
dc.identifier.spage2688-
dc.identifier.epage2696-
dc.identifier.isiWOS:000361544200300-

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