Exploring indoor white spaces in metropolises
Refereed conference paper presented and published in conference proceedings

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AbstractIt is a promising vision to utilize white spaces, i.e., vacant VHF and UHF TV channels, to satisfy skyrocketing wireless data demand in both outdoor and indoor scenarios. While most prior works have focused on exploring outdoor white spaces, the indoor story is largely open for investigation. Motivated by this observation and that 70% of the spectrum demand comes from indoor environments, we carry out a comprehensive study of exploring indoor white spaces. We first present a large-scale measurement of outdoor and indoor TV spectrum occupancy in 30+ diverse locations in a typical metropolis Hong Kong. Our measurement results confirm abundant white spaces available for exploration in a wide range of areas in metropolises. In particular, more than 50% and 70% of the TV spectrum are white spaces in outdoor and indoor scenarios, respectively. While there are substantially more white spaces in indoor scenarios than in outdoor scenarios, there is no effective solution for identifying indoor white spaces. To fill in this gap, we propose the first system WISER (for White-space Indoor Spectrum EnhanceR), to identify and track indoor white spaces in a building, without requiring user devices to sense the spectrum. We discuss the design space of such system and justify our design choices using intensive real-world measurements. We design the architecture and algorithms to address the inherent challenges. We build a WISER prototype and carry out real-world experiments to evaluate its performance. Our results show that WISER can identify 30%-50% more indoor white spaces with negligible false alarms, as compared to alternative baseline approaches. © 2013 by the Association for Computing Machinery, Inc.
All Author(s) ListYing X., Zhang J., Yan L., Zhang G., Chen M., Chandra R.
Name of Conference19th Annual International Conference on Mobile Computing and Networking, MobiCom 2013
Start Date of Conference30/09/2013
End Date of Conference04/10/2013
Place of ConferenceMiami, FL
Country/Region of ConferenceUnited States of America
Detailed descriptionorganized by ACM,
Pages255 - 266
LanguagesEnglish-United Kingdom
KeywordsClustering algorithms, Sensor placement, Tv white spaces

Last updated on 2020-22-11 at 00:35