Proceedings ArticleDOI
Knowledge based cooperative spectrum sensing using polynomial classifiers in cognitive radio networks
Yasmin Hassan,Mohamed El-Tarhuni,Khaled Assaleh +2 more
- pp 1-6
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TLDR
The system is optimized to maximize the detection probability while keeping the false alarm at a fixed rate leading to improved spectrum utilization by the cognitive network while minimizing the interference to primary users.Abstract:
This paper proposes a cooperative spectrum sensing scheme for cognitive radio networks using a polynomial classifier. The proposed scheme utilizes either coherent or cyclostationary features in the received signal at each node and the extracted features are used by a central node to make to a global decision about the availability of spectrum holes for use by the cognitive radio network. The paper presents a system model and simulation results for the detection probability of spectrum holes under fading channel conditions. The system is optimized to maximize the detection probability while keeping the false alarm at a fixed rate leading to improved spectrum utilization by the cognitive network while minimizing the interference to primary users.read more
Citations
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Journal ArticleDOI
Learning-Based Spectrum Sensing for Cognitive Radio Systems
TL;DR: It is concluded that cyclostationary-based schemes are the most reliable in terms of detecting primary users in the spectrum, however, at the expense of a longer sensing time compared to coherent based schemes.
Dissertation
Learning Based Spectrum Sensing in OFDM Cognitive Radios
TL;DR: A Master of Science thesis in Electrical Engineering by Muhammad Umair Muzaffar entitled, "Learning Based Spectrum Sensing in OFDM Cognitive Radios," submitted in May 2012 as discussed by the authors.
Dissertation
Learning-Based Spectrum Sensing and Access for Cognitive Radio Systems
TL;DR: A Master of Science thesis in Electrical Engineering by Menatalla Diaaeldin Shehabeldin entitled, "Learning-Based Spectrum Sensing and Access for Cognitive Radio Systems," submitted in June 2015.
Dissertation
Spectrum Occupancy Measurements and Cognitive Radio System Implementation
TL;DR: A Master of Science thesis in Electrical Engineering by Firas Ahmed Kiftaro entitled, "Spectrum Occupancy Measurements and Cognitive Radio System Implementation," submitted in January 2017 as discussed by the authors, has been published.
References
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Journal ArticleDOI
A survey of spectrum sensing algorithms for cognitive radio applications
T. Yucek,Huseyin Arslan +1 more
TL;DR: In this paper, a survey of spectrum sensing methodologies for cognitive radio is presented and the cooperative sensing concept and its various forms are explained.
Journal ArticleDOI
IEEE 802.22: An Introduction to the First Wireless Standard based on Cognitive Radios
TL;DR: A detailed overview of the IEEE 802.22 draft specification, its architecture, requirements, applications, and coexistence considerations not only form the basis for the definition of this groundbreaking wireless air interface standard, but will also serve as foundation for future research in the promising area of CRs.
Proceedings ArticleDOI
Spectrum Sensing Measurements of Pilot, Energy, and Collaborative Detection
TL;DR: An experimental study that comprehensively evaluates the performance of three different detection methods proposed for sensing of primary user signals in cognitive radios, identifying the design parameters that can significantly improve the sensing gain.
Journal ArticleDOI
Cyclostationary Signatures in Practical Cognitive Radio Applications
TL;DR: How cyclostationary signatures can be exploited to overcome a number of the challenges associated with network coordination in emerging cognitive radio applications and spectrum sharing regimes is demonstrated.
Book
Cyclostationarity in Communications and Signal Processing
TL;DR: This book brings together the latest work in the field by the foremost experts and presents it in a tutorial fashion, instrumental in furthering progress in understanding and using cyclostationarity in all fields where it arises.