DocumentCode :
3568018
Title :
Jointly optimal sensing and resource allocation for multiuser interweave cognitive radios
Author :
Lopez-Ramos, Luis M. ; Marques, Antonio G. ; Ramos, Javier
Author_Institution :
Dept. of Signal Theor. & Commun., King Juan Carlos Univ., Madrid, Spain
fYear :
2012
Firstpage :
373
Lastpage :
378
Abstract :
Successful deployment of cognitive radios requires efficient sensing of the spectrum and dynamic adaptation of the available resources according to the sensed (imperfect) information. While most works design these two tasks separately, in this paper the sensing and resource allocation schemes are designed jointly. We investigate an interweave CR with multiple secondary users that access orthogonally a set frequency bands originally devoted to primary users. The schemes are designed to optimize the performance of the secondary users while limiting the “probability of interfering” the primary users. The joint design is addressed using dynamic programming and nonlinear optimization techniques. A two-step strategy that first finds the optimal resource allocation for any sensing scheme and then uses that solution as input to solve for the optimal sensing policy is implemented. The two-step strategy is optimal and entails a computational complexity much lower than that required to solve the original formulation.
Keywords :
cognitive radio; dynamic programming; nonlinear programming; resource allocation; dynamic adaptation; dynamic programming techniques; interweave CR; multiple secondary users; multiuser interweave cognitive radios; nonlinear optimization techniques; optimal resource allocation; optimal sensing; sensed information; spectrum adaptation; Dynamic programming; Interference; Joints; Optimization; Resource management; Sensors; Vectors; Cognitive radios; dynamic programming; imperfect channel state information; resource management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM), 2012 7th International ICST Conference on
ISSN :
2166-5370
Print_ISBN :
978-1-4673-2976-7
Electronic_ISBN :
2166-5370
Type :
conf
Filename :
6333770
Link To Document :
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