Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

5-2014

Abstract

Wireless 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-LineOf-Sight (NLOS) propagation. The ability to distinguish LineOf-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%.

Discipline

Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

Proceedings of the 33rd Annual IEEE International Conference on Computer Communications (INFOCOM '14), Toronto, Canada, April 27 - May 2

First Page

2688

Last Page

2696

Identifier

10.1109/INFOCOM.2014.6848217

Publisher

IEEE

City or Country

Toronto, Canada

Additional URL

https://doi.org/10.1109/INFOCOM.2014.6848217

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