Optimal Energy-Efficient Sensing and Power Allocation in Cognitive Radio Networks
Joint Authors
Wang, Junbo
Xu, Jin-Ling
Wu, Xia
Chen, Ming
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-05
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
We consider a joint optimization of sensing parameter and power allocation for an energy-efficient cognitive radio network (CRN) in which the primary user (PU) is protected.
The optimization problem to maximize the energy efficiency of CRN is formulated as a function of two variables, which are sensing time and transmit power, subject to the average interference power to the PU and the target detection probability.
During the optimizing process, the quality of service parameter (the minimum rate acceptable to secondary users (SUs)) has also been taken into consideration.
The optimal solutions are analyzed and an algorithm combined with fractional programming that maximizes the energy efficiency for CRN is presented.
Numerical results show that the performance improvement is achieved by the joint optimization of sensing time and power allocation.
American Psychological Association (APA)
Wu, Xia& Xu, Jin-Ling& Chen, Ming& Wang, Junbo. 2014. Optimal Energy-Efficient Sensing and Power Allocation in Cognitive Radio Networks. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-491172
Modern Language Association (MLA)
Wu, Xia…[et al.]. Optimal Energy-Efficient Sensing and Power Allocation in Cognitive Radio Networks. Mathematical Problems in Engineering No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-491172
American Medical Association (AMA)
Wu, Xia& Xu, Jin-Ling& Chen, Ming& Wang, Junbo. Optimal Energy-Efficient Sensing and Power Allocation in Cognitive Radio Networks. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-491172
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-491172