DocumentCode
2437538
Title
Location-aware cognitive sensing for maximizing network capacity
Author
Jia, Peng ; Vu, Mai ; Le-Ngoc, Tho
Author_Institution
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada
fYear
2009
fDate
1-4 Nov. 2009
Firstpage
78
Lastpage
82
Abstract
We develop a closed-form optimal spectrum sensing threshold to maximize a cognitive network weighted sum capacity. In an one primary user and one cognitive user network, spatial location side information is used by the cognitive transmitter to adjust its sensing threshold accordingly. Numerical results show that, compared to another threshold based on minimizing a Bayesian risk function, the proposed threshold improves the network sum capacity significantly. The benefit of spatial location side information is also revealed in the sum capacity.
Keywords
Bayes methods; channel capacity; cognitive radio; mobile computing; Bayesian risk function; closed-form optimal spectrum sensing threshold; cognitive network weighted sum capacity; location-aware cognitive sensing; network capacity; Bandwidth; Bayesian methods; Cognition; Cognitive radio; Communication systems; Costs; Interference; Radio spectrum management; Radio transmitters; Receivers;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2009 Conference Record of the Forty-Third Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
978-1-4244-5825-7
Type
conf
DOI
10.1109/ACSSC.2009.5470166
Filename
5470166
Link To Document