Capacity Limits and Performance Analysis of Cognitive Radio With Imperfect Channel Knowledge
By Himal A. Suraweera, Peter J. Smith, Mansoor Shafi. IEEE Transactions on Vehicular Technology, 2010
471 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/1ca7e61a8f8f39d565496c9d543f2ad0a582e1c9
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
- Ying-Chang Liang
- Geoffrey Y. Li
- Kwang-Cheng Chen
- Petri Mähönen
- Moshe Timothy Masonta
- Mjumo Mzyece
- Ntsibane Ntlatlapa
- Rui Zhang
In Electrical and Electronic Engineering
- Ying-Chang Liang
- Geoffrey Y. Li
- Kwang-Cheng Chen
- Petri Mähönen
- Moshe Timothy Masonta
- Mjumo Mzyece
- Ntsibane Ntlatlapa
- Rui Zhang
Citations in the corpus
- Spectrum Decision in Cognitive Radio Networks: A Survey (2013, background): “A closed-form average BER expression is derived in [45]”
- Cognitive radio networking and communications: an overview (2011, background): “the channel gain between the secondary Tx to the primary Rx is imperfectly known, the effect of such imperfectness on the mean capacity of the secondary link has been addressed in [68].”
- Secure Transmission in Cognitive Satellite Terrestrial Networks (2016, methodology): “In this paper, we consider the following two commonly studied cases with CSI uncertainties: • Imperfect CSI: In this case, the BS only has imprecise knowledge about the CSI of the BS-PU link, namely, the hp available at the BS is modeled as [30], [31] hp = h̄p + hp, (9)”