Title
Impact of human crowd activity on indoor wireless channels - Assessment and modeling
Abstract
Indoor localization is one key element in current and future mobile applications and services. Based on the estimate of ranges between the mobile user and anchors, like base stations or access points, and between mobile users in the cooperative context, geolocation algorithms must be robust in crowded and multipath-rich indoor environments. Channel models play a fundamental role in the validation and assessment of the algorithm performance. They are required to reproduce realistic propagation characteristics. However, state of the art channel models do not deterministically consider the time-variant nature of an indoor environment populated with humans. This paper presents indoor measurements that have been conducted to evaluate the influence of human crowd activity on the time-variant channel and the round-trip delay ranging link performance. Measurements were used as well to validate a time-variant indoor ray-based model, which aims at feeding the design and assessment of indoor wireless communication based geolocation algorithms with realistic non-stationary channels.
Year
DOI
Venue
2013
10.1109/WPNC.2013.6533254
Positioning Navigation and Communication
Keywords
Field
DocType
delays,indoor radio,mobile radio,radiowave propagation,telecommunication channels,access points,channel models,cooperative context,geolocation algorithms,human crowd activity,indoor environment,indoor localization,indoor wireless channels,indoor wireless communication based geolocation algorithms assessment,link performance,mobile anchors,mobile applications,mobile services,mobile user,multipath-rich indoor environments,realistic nonstationary channels,realistic propagation characteristics,round-trip delay,stations points,time-variant channel,time-variant indoor ray-based model,time-variant nature
Base station,Distance measurement,Channel models,Wireless,Computer science,Fading,Geolocation,Communication channel,Electronic engineering,Ranging
Conference
ISSN
ISBN
Citations 
2164-9758
978-1-4673-6031-9
2
PageRank 
References 
Authors
0.39
8
4
Name
Order
Citations
PageRank
Emanuel Staudinger151.15
Julien Stephan2122.47
Yoann Corre37613.64
Yves Lostanlen417720.28