Advances in cognitive radio networks: A survey

By Beibei Wang, K. Liu. IEEE Journal on Selected Topics in Signal Processing, 2011

1,468 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/2be2c513abeba540cbd66a29680e9c766ade17fa

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Advances in Energy Harvesting Communications: Past, Present, and Future Challenges (2016, background): “Cognitive radio has been deemed as a key enabling technology to resolve the problem of spectrum scarcity due to the ever increasing demand for wireless services and applications [141], [142].”
The Progressive Smart Grid System from Both Power and Communications Aspects (2012, background): “the world’s most valuable resources) is mostly underutilized [123].”
Cognitive Radio Wireless Sensor Networks: Applications, Challenges and Research Trends (2013, background): “Some issues in CRNs have been addressed well [18–33].”
Ten years of research in spectrum sensing and sharing in cognitive radio (2012, neutral): “, [137-140], which may cover these topics.”
An anti-jamming stochastic game for cognitive radio networks (2011, background): “N RECENT years, cognitive radio technology [1] [2] [3] has been proposed as a promising communication paradigm to solve the conflict between the limited spectrum resources and the increasing demand for wireless services.”
Advances on Spectrum Sensing for Cognitive Radio Networks: Theory and Applications (2017, background): “In fact, a countable number of survey papers exist in the literature in the context of cognitive radio communications covering a wide range of areas such as spectrum occupancy measurement [13], spectrum sensing [6], [7], [14], [15], cognitive radio under practical imperfections [16], spectrum manage”
Cognitive radio networking and communications: an overview (2011, background): “The readers may refer to other publications in recent reviews [217], [218] and recent special issues, e.”
Compressed Sensing for Wireless Communications: Useful Tips and Tricks (2015, background): “1) Spectrum Sensing: As a means to improve the overall spectrum efficiency, cognitive radio (CR) has received much attention recently [53].”
Low-power, chip-based stimulated Brillouin scattering microwave photonic filter with ultrahigh selectivity (2014, background): “The explosive growth in mobile communications demands radio-frequency (RF) technologies with exceptional spectral efficiency such as cognitive radios, which can adapt their frequencies to exploit the available spectrum in real time [1,2].”
A Survey on Machine-Learning Techniques in Cognitive Radios (2013, background): “Recent surveys on CRs can be found in [41], [54], [55].”