PhaseU: Real-time LOS Identification with WiFi

WiFi 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 NonLin...

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Main Authors: WU, Chenshu, YANG, Zheng, ZHOU, Zimu, QIAN, Kun, LIU, Yunhao, LIU, Mingyan
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Language:English
Published: Institutional Knowledge at Singapore Management University 2015
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Online Access:https://ink.library.smu.edu.sg/sis_research/4753
https://ink.library.smu.edu.sg/context/sis_research/article/5756/viewcontent/infocom15_wu.pdf
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spelling sg-smu-ink.sis_research-57562020-01-16T10:34:26Z PhaseU: Real-time LOS Identification with WiFi WU, Chenshu YANG, Zheng ZHOU, Zimu QIAN, Kun LIU, Yunhao LIU, Mingyan WiFi 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 NonLine-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 2015-05-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/4753 info:doi/10.1109/INFOCOM.2015.7218588 https://ink.library.smu.edu.sg/context/sis_research/article/5756/viewcontent/infocom15_wu.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Digital Communications and Networking
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Digital Communications and Networking
spellingShingle Digital Communications and Networking
WU, Chenshu
YANG, Zheng
ZHOU, Zimu
QIAN, Kun
LIU, Yunhao
LIU, Mingyan
PhaseU: Real-time LOS Identification with WiFi
description WiFi 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 NonLine-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
format text
author WU, Chenshu
YANG, Zheng
ZHOU, Zimu
QIAN, Kun
LIU, Yunhao
LIU, Mingyan
author_facet WU, Chenshu
YANG, Zheng
ZHOU, Zimu
QIAN, Kun
LIU, Yunhao
LIU, Mingyan
author_sort WU, Chenshu
title PhaseU: Real-time LOS Identification with WiFi
title_short PhaseU: Real-time LOS Identification with WiFi
title_full PhaseU: Real-time LOS Identification with WiFi
title_fullStr PhaseU: Real-time LOS Identification with WiFi
title_full_unstemmed PhaseU: Real-time LOS Identification with WiFi
title_sort phaseu: real-time los identification with wifi
publisher Institutional Knowledge at Singapore Management University
publishDate 2015
url https://ink.library.smu.edu.sg/sis_research/4753
https://ink.library.smu.edu.sg/context/sis_research/article/5756/viewcontent/infocom15_wu.pdf
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