NDLI: Centralised cooperative spectrum sensing under correlated shadowing

Content Provider	IET Digital Library
Author	Janatian, Nafiseh Hashemi, Mahmood Modarres Sun, Sumei Guan, Yong Liang
Abstract	The authors consider centralised cooperative spectrum sensing under correlated shadowing in this study. Formulating the spectrum sensing problem as a Gauss–Gauss hypothesis test, they use a linear quadratic rule and show that it is the optimal detector under Bayesian criterion. They derive the upper and lower Bhattacharyya bounds and investigate the error performance of spectrum sensing by studying the behaviour of these upper and lower bounds. They also study the asymptotic error performance in two different scenarios of finite and infinite area networks. They show that by increasing the number of nodes the sensing error probability approaches zero in both cases but with different decay rates. The lower the correlation between nodes or the larger the network area, the faster the decay.
Starting Page	1996
Ending Page	2007
Page Count	12
ISSN	17518628
Volume Number	8
e-ISSN	17518636
Issue Number	Issue 11, Jul (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/8/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2013.0548
Journal	IET Communications
Publisher Date	2014-06-06
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Asymptotic Error Performance Bayes Method Bhattacharyya Bounds Centralised Cooperative Spectrum Sensing Correlated Shadowing Error Performance Finite Area Network Gauss-Gauss Hypothesis Test Gaussian Processes Infinite Area Network Linear Quadratic Rule Optimal Detector Radio Link And Equipment Radio Spectrum Management Signal Detection Statistics
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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