Chicago spectrum occupancy measurements & analysis and a long-term studies proposal
TAPAS '06 Proceedings of the first international workshop on Technology and policy for accessing spectrum
An algorithm for detection of DVB-T signals based on their second-order statistics
EURASIP Journal on Wireless Communications and Networking - Cognitive Radio and Dynamic Spectrum Sharing Systems
White space networking with wi-fi like connectivity
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
Dynamic spectrum access in DTV whitespaces: design rules, architecture and algorithms
Proceedings of the 15th annual international conference on Mobile computing and networking
Mining spectrum usage data: a large-scale spectrum measurement study
Proceedings of the 15th annual international conference on Mobile computing and networking
Supporting demanding wireless applications with frequency-agile radios
NSDI'10 Proceedings of the 7th USENIX conference on Networked systems design and implementation
A survey of indoor positioning systems for wireless personal networks
IEEE Communications Surveys & Tutorials
IEEE Communications Magazine
Inaccurate spectrum databases?: public transit to its rescue!
Proceedings of the Twelfth ACM Workshop on Hot Topics in Networks
ACM SIGCOMM Computer Communication Review
| Hi-index | 0.00 |
It 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.