Paper Info
Title
On optimal operating characteristics of sensing and training for cognitive radios.
Abstract
The problem of optimal sensing and training in a cognitive radio system is considered when the training signal of the primary transmitter is used for both channel estimation at the primary receiver and sensing for the sec- ondary transmitter. First, the optimal operating characteristics of sensing that maximizes the overall system rate for given training is investigated. It is shown that the optimal false alarm probability at the secondary sen- sor is monotone increasing as the activity of the primary user increases if the sensing ROC curve is concave. When the primary activity factor is unknown, the max-min criterion is applied to optimal sensing strategy and the resulting max-min optimal solution is given by an equalizer rule for any type of sensing ROC curve. The joint optimization of sensing and training has a unique solution and it can be easily found numerically using a gradi- ent ascent algorithm. By optimal design of sensing and training in such a way, the overall system rate can be improved.
Year
DOI
Venue
2008
10.1109/ICASSP.2008.4518227
ICASSP
Keywords
Field
DocType
cognitive radio,optimization,probability,indexing terms,roc curve,optimal design
Transmitter,Mathematical optimization,Gradient descent,False alarm,Computer science,Communication channel,Optimal design,Activity factor,Monotone polygon,Cognitive radio
Conference
ISSN
ISBN
Citations 
1520-6149 E-ISBN : 978-1-4244-1484-0
978-1-4244-1484-0
3
PageRank 
References 
Authors
0.47
5
3
Name
Order
Citations
PageRank
Heejung Yu115422.19
Youngchul Sung262145.85
Yong Hoon Lee344658.19