Array Signal Processing: Concepts and Techniques
Array Signal Processing: Concepts and Techniques
Fundamentals of wireless communication
Fundamentals of wireless communication
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Learning to share: narrowband-friendly wideband networks
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
Zigzag decoding: combating hidden terminals in wireless networks
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
White space networking with wi-fi like connectivity
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
RFDump: an architecture for monitoring the wireless ether
Proceedings of the 5th international conference on Emerging networking experiments and technologies
Signal classification in fading channels using cyclic spectral analysis
EURASIP Journal on Wireless Communications and Networking
Supporting demanding wireless applications with frequency-agile radios
NSDI'10 Proceedings of the 7th USENIX conference on Networked systems design and implementation
SecureAngle: improving wireless security using angle-of-arrival information
Hotnets-IX Proceedings of the 9th ACM SIGCOMM Workshop on Hot Topics in Networks
SpecNet: spectrum sensing sans frontières
Proceedings of the 8th USENIX conference on Networked systems design and implementation
Cyclostationary Signatures in Practical Cognitive Radio Applications
IEEE Journal on Selected Areas in Communications
Picasso: full duplex signal shaping to exploit fragmented spectrum
Proceedings of the 10th ACM Workshop on Hot Topics in Networks
Catching whales and minnows using WiFiNet: deconstructing non-WiFi interference using WiFi hardware
NSDI'12 Proceedings of the 9th USENIX conference on Networked Systems Design and Implementation
Picasso: flexible RF and spectrum slicing
Proceedings of the ACM SIGCOMM 2012 conference on Applications, technologies, architectures, and protocols for computer communication
802.11ec: collision avoidance without control messages
Proceedings of the 18th annual international conference on Mobile computing and networking
Building efficient spectrum-agile devices for dummies
Proceedings of the 18th annual international conference on Mobile computing and networking
Picasso: flexible RF and spectrum slicing
ACM SIGCOMM Computer Communication Review - Special october issue SIGCOMM '12
Weeble: enabling low-power nodes to coexist with high-power nodes in white space networks
Proceedings of the 8th international conference on Emerging networking experiments and technologies
PinPoint: localizing interfering radios
nsdi'13 Proceedings of the 10th USENIX conference on Networked Systems Design and Implementation
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The ability to detect what unlicensed radios are operating in a neigh borhood, their spectrum occupancies and the spatial directions their signals are traversing is a fundamental primitive needed by many applications, ranging from smart radios to coexistence to network management to security. In this paper we present DOF, a detector that in a single framework accurately estimates all three parameters. DOF builds on the insight that in most wireless protocols, there are hidden repeating patterns in the signals that can be used to construct unique signatures, and accurately estimate signal types and their spectral and spatial parameters. We show via experimental evaluation in an indoor testbed that DOF is robust and accurate, it achieves greater than 85% accuracy even when the SNRs of the detected signals are as low as 0 dB, and even when there are multiple interfering signals present. To demonstrate the benefits of DOF, we design and implement a preliminary prototype of a smart radio that operates on top of DOF, and show experimentally that it provides a 80% increase in throughput over Jello, the best known prior implementation, while causing less than 10% performance drop for co-existing WiFi and Zigbee radios.