On Performance of Weighted Fusion Based Spectrum Sensing in Fading Channels
Joint Authors
Kundu, Sumit
Nallagonda, Srinivas
Dhar Roy, Sanjay
Bandari, Shravan Kumar
Source
Journal of Computational Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-07
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Cognitive radio (CR) is a promising technology for efficient utilization of underutilized spectrum since it is able to detect the occupancy of primary users (PUs) in the different parts of the spectrum.
As the sensing channel uncertainties limit the reliability of the spectrum sensing decision, cooperation among multiple CR users is often used to improve the spectrum sensing decision.
In this paper, the performance of single CR user based spectrum sensing and cooperative CR user based spectrum sensing (CSS) has been assessed in several channels such as AWGN, log-normal, Hoyt (or Nakagami-q), Rayleigh, Rician (or Nakagami-n), Nakagami-m, and Weibull channels.
The performance of two spectrum sensing schemes based on assigning weights to CR users such as (a) weighting according to sensing channel preference and (b) weighting according to the value of decision statistic is evaluated.
The performance comparison between two weighting schemes under several fading channels has been made.
The performance of proposed CSS has been illustrated through complementary receiver operating characteristics (CROC) for different fading channels.
The effects of weighting factors (k and Rf) on overall missed detection performance are shown.
The performance of CSS with OR-logic fusion as a special case is also presented for comparison purpose.
American Psychological Association (APA)
Nallagonda, Srinivas& Bandari, Shravan Kumar& Dhar Roy, Sanjay& Kundu, Sumit. 2013. On Performance of Weighted Fusion Based Spectrum Sensing in Fading Channels. Journal of Computational Engineering،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-459121
Modern Language Association (MLA)
Nallagonda, Srinivas…[et al.]. On Performance of Weighted Fusion Based Spectrum Sensing in Fading Channels. Journal of Computational Engineering No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-459121
American Medical Association (AMA)
Nallagonda, Srinivas& Bandari, Shravan Kumar& Dhar Roy, Sanjay& Kundu, Sumit. On Performance of Weighted Fusion Based Spectrum Sensing in Fading Channels. Journal of Computational Engineering. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-459121
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-459121