His scientific interests lie mostly in Cognitive radio, Wireless, Computer network, Telecommunications and Software-defined radio. His studies deal with areas such as Wireless network, Distributed computing and Artificial intelligence as well as Cognitive radio. His work carried out in the field of Wireless brings together such families of science as Computer security, Standardization, Wireless sensor network and Data modeling.
The concepts of his Computer network study are interwoven with issues in Radio jamming, Communication channel, Interference and Physical layer. His Software-defined radio research is classified as research in Electronic engineering. The study incorporates disciplines such as Digital television, White spaces and Mobile radio in addition to Electronic engineering.
Electronic engineering, Wireless, Computer network, Communication channel and Cognitive radio are his primary areas of study. His Electronic engineering study combines topics from a wide range of disciplines, such as Fading, Interference, Signal, Interference and Orthogonal frequency-division multiplexing. Telecommunications covers Jeffrey H. Reed research in Wireless.
His Computer network research is multidisciplinary, incorporating elements of Physical layer, Wireless network, Radio resource management and Distributed computing. His study in Communication channel is interdisciplinary in nature, drawing from both Transmitter, Algorithm and Throughput. The concepts of his Cognitive radio study are interwoven with issues in Testbed, Software-defined radio and Artificial intelligence.
Jeffrey H. Reed spends much of his time researching Wireless, Communication channel, MIMO, Real-time computing and Electronic engineering. His Wireless research includes elements of Cellular network, Computer network and Key. His Key research incorporates elements of Wireless sensor network and Distributed computing.
His studies in Communication channel integrate themes in fields like Radar, Algorithm, Throughput and Interference. His Electronic engineering research is multidisciplinary, relying on both Intermodulation, Adjacent channel and Orthogonal frequency-division multiplexing. His Service research integrates issues from Telecommunications and Spectrum management.
Jeffrey H. Reed focuses on Wireless, Cellular network, Key, MIMO and Communication channel. His study in the fields of Dedicated short-range communications under the domain of Wireless overlaps with other disciplines such as Intelligent transportation system. Cellular network is the subject of his research, which falls under Computer network.
Jeffrey H. Reed combines subjects such as Wireless sensor network, Telecommunications, Multimedia and Overhead with his study of Key. The various areas that Jeffrey H. Reed examines in his Communication channel study include Distortion, Reduction and Base station. His work in Base station tackles topics such as Baseband which are related to areas like Electronic engineering and Orthogonal frequency-division multiplexing.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Overview of spatial channel models for antenna array communication systems
R.B. Ertel;P. Cardieri;K.W. Sowerby;T.S. Rappaport.
IEEE Personal Communications (1998)
Spectrum Sensing for Cognitive Radio
S. Haykin;D.J. Thomson;J.H. Reed.
Proceedings of the IEEE (2009)
Position location using wireless communications on highways of the future
T.S. Rappaport;J.H. Reed;B.D. Woerner.
IEEE Communications Magazine (1996)
Software radio: a modern approach to radio engineering
Defense against Primary User Emulation Attacks in Cognitive Radio Networks
Ruiliang Chen;Jung-Min Park;J.H. Reed.
IEEE Journal on Selected Areas in Communications (2008)
An overview of the challenges and progress in meeting the E-911 requirement for location service
J.H. Reed;K.J. Krizman;B.D. Woerner;T.S. Rappaport.
IEEE Communications Magazine (1998)
Using game theory to analyze wireless ad hoc networks
V. Srivastava;J. Neel;A.B. Mackenzie;R. Menon.
IEEE Communications Surveys and Tutorials (2005)
A new approach to signal classification using spectral correlation and neural networks
A. Fehske;J. Gaeddert;J.H. Reed.
First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005. (2005)
Introduction to Ultra Wideband Communication Systems, An
Cyclostationary Approaches to Signal Detection and Classification in Cognitive Radio
Kyouwoong Kim;I.A. Akbar;K.K. Bae;Jung-sun Urn.
2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (2007)
Profile was last updated on December 6th, 2021.
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