Wideband Spectrum Sensing in Cognitive Radio Networks
Zhi Quan,Shuguang Cui,Ali H. Sayed,H.V. Poor +3 more
- pp 901-906
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TLDR
A novel wideband spectrum sensing technique, called multiband joint detection, is introduced, which jointly detects the signal energy levels over multiple frequency bands rather than consider one band at a time.Abstract:
Spectrum sensing is an essential enabling functionality for cognitive radio networks to detect spectrum holes and opportunistically use the under-utilized frequency bands without causing harmful interference to legacy networks. This paper introduces a novel wideband spectrum sensing technique, called multiband joint detection, which jointly detects the signal energy levels over multiple frequency bands rather than consider one band at a time. The proposed strategy is efficient in improving the dynamic spectrum utilization and reducing interference to the primary users. The spectrum sensing problem is formulated as a class of optimization problems in interference limited cognitive radio networks. By exploiting the hidden convexity in the seemingly non-convex problem formulations, optimal solutions for multiband joint detection are obtained under practical conditions. Simulation results show that the proposed spectrum sensing schemes can considerably improve the system performance. This paper establishes important principles for the design of wideband spectrum sensing algorithms in cognitive radio networks.read more
Citations
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Journal ArticleDOI
Advances in cognitive radio networks: A survey
Beibei Wang,K.J.R. Liu +1 more
TL;DR: Recent advances in research related to cognitive radios are surveyed, including the fundamentals of cognitive radio technology, architecture of a cognitive radio network and its applications, and important issues in dynamic spectrum allocation and sharing are investigated in detail.
Journal ArticleDOI
Optimal Multiband Joint Detection for Spectrum Sensing in Cognitive Radio Networks
TL;DR: Simulation results show that the proposed spectrum sensing schemes can considerably improve system performance, and useful principles for the design of distributed wideband spectrum sensing algorithms in cognitive radio networks are established.
Journal ArticleDOI
What is a Spectrum Hole and What Does it Take to Recognize One
TL;DR: These new metrics are used to show that fading uncertainty forces the WPAR performance of single-radio sensing algorithms to be very low for small values of F HI, even for ideal detectors.
Journal ArticleDOI
Collaborative wideband sensing for cognitive radios
TL;DR: It is argued that collaborative spectrum sensing can make use of signal processing gains at the physical layer to mitigate strict requirements on the radio frequency front-end and to exploit spatial diversity through network cooperation to significantly improve sensing reliability.
Journal ArticleDOI
Full Spectrum Sharing in Cognitive Radio Networks Toward 5G: A Survey
Feng Hu,Bing Chen,Kun Zhu +2 more
TL;DR: A comprehensive survey of CR technology is conducted and the key enabling technologies that may be closely related to the study of 5G in the near future are presented in terms of full-duplex spectrum sensing, spectrum-database based Spectrum sensing, auction based spectrum allocation, carrier aggregation based spectrum access.
References
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Book
Convex Optimization
Stephen Boyd,Lieven Vandenberghe +1 more
TL;DR: In this article, the focus is on recognizing convex optimization problems and then finding the most appropriate technique for solving them, and a comprehensive introduction to the subject is given. But the focus of this book is not on the optimization problem itself, but on the problem of finding the appropriate technique to solve it.
Journal ArticleDOI
Fundamentals of statistical signal processing: estimation theory
TL;DR: The Fundamentals of Statistical Signal Processing: Estimation Theory as mentioned in this paper is a seminal work in the field of statistical signal processing, and it has been used extensively in many applications.
Journal ArticleDOI
Cognitive radio: brain-empowered wireless communications
TL;DR: Following the discussion of interference temperature as a new metric for the quantification and management of interference, the paper addresses three fundamental cognitive tasks: radio-scene analysis, channel-state estimation and predictive modeling, and the emergent behavior of cognitive radio.
Digital communications
TL;DR: This month's guest columnist, Steve Bible, N7HPR, is completing a master’s degree in computer science at the Naval Postgraduate School in Monterey, California, and his research area closely follows his interest in amateur radio.