A survey of spectrum sensing algorithms for cognitive radio applications

By Tevfik Yücek, Huseyin Arslan. IEEE Communications Surveys and Tutorials, 2009

5,171 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/cb7f1a31c8c6bf2640c43aec328e306b0bb5b2fb

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In Computer Networks and Communications

Citations in the corpus

Advances in cognitive radio networks: A survey (2011, background): “Thus, if a primary user does not transmit in all the directions, extra spectrum opportunities can be created for secondary users in the directions where the primary user is not operating, and spectrum sensing needs also to take the angle of arrivals into account [16].”
Cognitive Radio for Smart Grids: Survey of Architectures, Spectrum Sensing Mechanisms, and Networking Protocols (2016, background): “been surveyed in [38]–[44], while mechanisms for spectrum access and radio channel resource assignment have been covered”
LEO Satellite Constellation for Internet of Things (2017, background): “CRs, from its definition, is a radio system that is able to sense its operating electromagnetic environment and adjust the radio parameters to optimize system performance dynamically and automatically [26].”
Cognitive Radio Wireless Sensor Networks: Applications, Challenges and Research Trends (2013, background): “Some issues in CRNs have been addressed well [18–33].”
Game Theory in Wireless and Communication Networks (2008, methodology): “, energy detection, matched-filter detection, cyclostationary detection, and wavelet detection [525].”
Cognitive Radio Based Wireless Sensor Network architecture for smart grid utility (2011, background): “Normal Join/ New Device Join: A new device not belonging to any network sends beacon request and wait for beacons indicating that the network is accepting new association requests.”
A Survey on Device-to-Device Communication in Cellular Networks (2013, background): “An extensive survey on spectrum sensing algorithms for cognitive radio applicati ons and routing protocols for MANET can be found in [36] and [37], respectively.”
A Survey on Machine-Learning Techniques in Cognitive Radios (2013, methodology): “A survey on the spectrum sensing techniques for CRs can be found in [39].”
A Survey on MAC Strategies for Cognitive Radio Networks (2012, neutral): “matched filter [39], feature detection [40]).”
Spectrum sensing in cognitive radio (2016, background): “A number of test statistics for the problem of spectrum sensing have been proposed in the literature [33, 34, 35].”
Limits of Reliable Communication with Low Probability of Detection on AWGN Channels (2012, background): “Cognitive Radio: The LPD communication problem is also related to that of establishing a cognitive radio (CR) network [29].”
A Survey on Multicarrier Communications: Prototype Filters, Lattice Structures, and Implementation Aspects (2012, methodology): “From the view of spectrum sensing approaches, FFT part of the CP-OFDM demodulator can also be conveniently utilized to identify the presence of primary users in the vicinity [14 7], [151].”
Cognitive radio networking and communications: an overview (2011, background): “Different from traditional sensing methods [15] that detect spectrum holes by listening to primary signals, the proactive sensing detects primary Rx’s by sending a sounding”
Efficient resource allocation for device-to-device communication underlaying LTE network (2010, background): “Cognitive radio (CR) technology, a very active research area for the past two decades, also reuses the under-utilized spectrum in an opportunistic manner [11], [12], [13].”
Interference and Outage in Poisson Cognitive Networks (2012, methodology): “The Poisson cluster process is introduced as an approximation model for the Poisson hole process in Section V, and finally the paper is concluded in Section VI.”
Supervised machine learning techniques in cognitive radio networks during cooperative spectrum handovers (2017, neutral): “Within the context of cooperative spectrum sensing and detection, database is categorized based on HLR and VLR as channel accessible class (corresponding to the case that no element (PU) is active) and the channel inaccessible class (corresponding to the case that a minimum of one SU is active)respe”