NDLI: Energy-efficient channel aggregation in cognitive radio networks with imperfect sensing

Content Provider	IEEE Xplore Digital Library
Author	Li, Lei Zhang, Wenzhong Zhang, Sihai Zhao, Ming Zhou, Wuyang
Copyright Year	2013
Description	Author affiliation: Wireless Information Network Lab, University of Science and Technology of China, Hefei, Anhui, 230027 (Li, Lei; Zhang, Sihai; Zhao, Ming; Zhou, Wuyang) \|\| China Ship Scientific Research Center, P.O.Box 116, Wuxi, Jiangsu, 214082 (Zhang, Wenzhong)
Abstract	In this paper, we study energy-efficient channel aggregation problem in cognitive radio networks, where a secondary user senses multiple channels simultaneously or sequentially in the sensing period and subsequently aggregate those channels sensed free. We aim at designing the optimal sensing time and power allocation to achieve the maximum energy efficiency, meanwhile considering the maximum transmit power and minimum rate constraints as well as the protection to primary users. Taking into account the dynamics of the primary users' activities and the impact of imperfect spectrum sensing, we formulate the above design problem as a sum-of-ratios problem and solve it by applying the theory of nonlinear fractional programs. Numerical results validate the optimality of our energy-efficient design. Moreover, the impacts of the spectrum sensing approaches, the maximum number of sensed channels and the maximum power and minimum rate constraints on energy efficiency are also investigated respectively.
Starting Page	2817
Ending Page	2822
File Size	479789
Page Count	6
File Format	PDF
ISBN	9781467359382
ISSN	15253511
e-ISBN	9781467359399
e-ISBN	9781467359375
DOI	10.1109/WCNC.2013.6555007
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensors Resource management Energy consumption Throughput Optimization Wireless communication Signal to noise ratio
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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