Chen, Yunfei and Beaulieu, Norman C. (2009) Performance of collaborative spectrum sensing for cognitive radio in the presence of Gaussian channel estimation errors. IEEE Transactions on Communications, Vol.57 (No.7). pp. 1944-1947. doi:10.1109/TCOMM.2009.07.070166

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Abstract

The performance of collaborative spectrum sensing for cognitive radio in a lognormal shadowing and Rayleigh fading channel is investigated. Unlike previous works that assume perfect knowledge of the average channel signal-to-noise ratio, this paper considers the realistic case where estimation of the average channel signal-to-noise ratio has error. Furthermore, while previous works have designed and examined estimators based on assuming that the channel samples used in the average signal-to-noise ratio estimators are noiseless, the present work assumes that the channel samples are noisy, as is the case in practical systems. Numerical results show that the probability of missed opportunity decreases as the estimation error decreases, as expected. Perhaps unexpectedly, the results also show that in the presence of noise, there exists a threshold phenomenon for the noise level. Below a particular threshold, the probability of missed opportunity increases as the noise level increases. Yet above this threshold, the probability of missed opportunity decreases as the noise level increases.

Item Type:	Journal Article
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH):	Cognitive radio networks, Estimation theory
Journal or Publication Title:	IEEE Transactions on Communications
Publisher:	IEEE
ISSN:	0090-6778
Official Date:	July 2009
Dates:	Date Event July 2009 Published
Volume:	Vol.57
Number:	No.7
Number of Pages:	4
Page Range:	pp. 1944-1947
DOI:	10.1109/TCOMM.2009.07.070166
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Version or Related Resource:	Paper presented in part at: IEEE Wireless Communications and Networking Conference, Budapest, Hungary, 05-08 Apr 2009.
Conference Paper Type:	Paper
Type of Event:	Conference

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