Spectrum sensing in cognitive radio networks: requirements, challenges and design trade-offs
By A. Ghasemi, Elvino Silveira Sousa. IEEE Communications Magazine, 2008
1,079 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/035866dd431ee002b8f4ba41178b9e92ad1e750f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Geoffrey Y. Li
- Biing-Hwang Fred Juang
- Jun Ma
- Mugen Peng
- Yaohua Sun
- Chonggang Wang
- Tony Q. S. Quek
- Hyundong Shin
In Electrical and Electronic Engineering
- Geoffrey Y. Li
- Biing-Hwang Fred Juang
- Jun Ma
- Yaohua Sun
- Mugen Peng
- Tony Q. S. Quek
- Chonggang Wang
- Hyundong Shin
Citations in the corpus
- Overview of radar waveform diversity (2016, background): “Doing so in a manner that involves listening to the spectral environment [176] and modifying one’s emissions accordingly [177] is considered a form of cognitive sensing [178, 179].”
- Recent Advances in Cloud Radio Access Networks: System Architectures, Key Techniques, and Open Issues (2016, background): “Fo r example, to achieve spectrum sensing function, the complex ity of transceiver is relatively high [146].”
- Signal Processing in Cognitive Radio (2009, methodology): “Here we elaborate the stringent signal processing requirements for detection of spatial spectrum holes from a geographic perspective as in [6] and [7].”
- Ten years of research in spectrum sensing and sharing in cognitive radio (2012, neutral): “This procedure is called spectrum sensing [8-10].”
- Green Cellular Networks: A Survey, Some Research Issues and Challenges (2011, background): “Spectrum sensing is further complicated due to uncertainty in interference from other secondary networks [96].”
- Cognitive Network Interference (2011, background): “For example, if a communication channel is active between the primary and secondary networks, the busy channel assessment can be based on the detection of a preamble shared between the primary and secondary networks or on the energy sensing of the primary network radio signals [8]–[10].”