Implementation issues in spectrum sensing for cognitive radios

By D. Cabric, Shridhar Mubaraq Mishra, R. W. Brodersen. Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004., 2004

2,915 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/1a3484f4509453ac13d6bf2454b27f007360b811

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Citations in the corpus

Cooperative Communications for Cognitive Radio Networks (2009, background): “In some recent works, the cognitive radios are allowed to cooperate for sensing the spectrum, so that the hidden terminal issues are addressed [3].”
Signal Processing in Cognitive Radio (2009, background): “In [ 4 ], signal-processing issues in the context of spectrumsensingimplementationinCRnetworkshavebeen investigated.”
Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks (2008, background): “In order to improve the reliability of spectrum sensing, radio cooperation exploiting spatial diversity among secondary users has been proposed in [4] and [9].”
White paper: Corvus: A cognitive radio approach for usage of virtual unlicensed spectrum (2004, background): “Spectrum sensing is best addressed as a cross-layer design problem since sensitivity can be improved by enhancing radio RF front-end sensitivity, exploiting digital signal processing gain for specific primary user signal, and network cooperation where users share their spectrum sensing measurements ”
Ensuring Trustworthy Spectrum Sensing in Cognitive Radio Networks (2006, methodology): “There exist alternative techniques for spectrum sensing, such as matched filter and cyclostationary feature detection [2].”
A new approach to signal classification using spectral correlation and neural networks (2005, background): “Energy detection as a non-coherent method is easy to implement and does not require prior knowledge of signal parameters such as carrier frequency or signal bandwidth, but is highly susceptible to in-band interference and changing noise levels [8].”
Cooperative Spectrum Sensing in Cognitive Radio, Part I: Two User Networks (2007, background): “In [3], a possible RF implementation architecture is discussed for front-end CR networks.”
Dynamic Spectrum Access: Signal Processing, Networking, and Regulatory Policy (2006, methodology): “As discussed in [22], based on the secondary user’s knowledge of the signal characteristics of primary users, three traditional signal detection techniques can be employed: matched filter, energy detector (radiometer), and cyclostationary feature detector.”
Opportunistic Spectrum Access in Fading Channels Through Collaborative Sensing (2007, background): “In the absence of cooperation or signalling between the primary licensee and the secondary user (e.g., when dealing with legacy primary systems), spectrum availability for the secondary access may be determined by direct spectrum sensing [ 10 ].”
Cooperative Spectrum Sensing in Cognitive Radio, Part II: Multiuser Networks (2007, background): “In [ 3 ], a possible RF implementation architecture is discussed for front-end CR networks.”
Breaking Spectrum Gridlock With Cognitive Radios: An Information Theoretic Perspective (2009, background): “One solution to combat fading and noise uncertainty is, fundamentally, to take a collaborative approach to sensing [87], [89]–[91], [93].”
Jamming Attacks and Anti-Jamming Strategies in Wireless Networks: A Comprehensive Survey (2021, methodology): “However, the energy detection method will not be able to differentiate between the PU’s transmitted signal and unknown noise and interference sources, resulting in a decrease of the sensing accuracy [118].”
Spectrum Sharing for Multi-Hop Networking with Cognitive Radios (2008, background): “A frequency-agile radio module is capable of sensing the available bands [3], [9], [10], [20], [26], [30], reconfiguring RF, and switching to newlyselected frequency bands.”
Cooperative Spectrum Sensing Optimization in Cognitive Radio Networks (2008, background): “One of the great challenges of implementing spectrum sensing is the hidden terminal problem, which occurs when the cognitive radio is shadowed, in severe multipath fading or inside buildings with high penetration loss, while a primary user (PU) is operating in the vicinity [4].”