NDLI: Minimal sensor density for small-scale primary detection in cognitive radio networks

Content Provider	IEEE Xplore Digital Library
Author	Keunmo Park Chongkwon Kim
Copyright Year	2011
Description	Author affiliation: School of Computer Science & Engineering, Seoul National University, Seoul, Korea (Keunmo Park; Chongkwon Kim)
Abstract	Cognitive radio network exploits spectrum hole generated by vacation of primary user on the frequency. However, network design paradigms of primary and secondary can be different except for frequency bandwidth in which they are operating. One of differences is network scale which is stemming from transmission power gap between primary and secondary. Especially, small scale primary user such as microphone in IEEE 80.22 is troublesome primary for secondary users because of detection difficulty. Additionally, it has to be guaranteed to deploy sensors densely enough to detect small-scale primary with given detection quality such as false alarm and miss detection probabilities. However, the density level has not yet been addressed well. In this paper, we suggest an analysis framework to identify minimal density of sensor deployment for detection of small-scale primary with given detection requirement. In addition, we show the relation between minimal density and primary parameters like transmission power and false alarm, miss detection probabilities by numerical result.
Starting Page	457
Ending Page	462
File Size	593272
Page Count	6
File Format	PDF
ISBN	9781612846613
ISSN	19767684
e-ISBN	9781612846637
DOI	10.1109/ICOIN.2011.5723158
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-01-26
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cognitive radio Sensors Bandwidth Microphones Digital TV Noise Computer architecture primary detection cognitve radio network
Content Type	Text
Resource Type	Article

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