Multiobjective Multivariate Optimization of Joint Spectrum Sensing and Power Control in Cognitive Wireless Networks

Hieu Van Dang and Witold Kinsner
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Hieu Van Dang: University of Manitoba, Winnipeg, Canada
Witold Kinsner: Cognitive Systems Laboratory, Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, Canada & Telecommunications Research Laboratories (TRLabs), Winnipeg, Canada

International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 2016, vol. 10, issue 2, 26-51

Abstract: In this paper, the authors investigate trade-off factors in designing efficient spectrum sensing and optimal power control techniques for a multichannel, multiple-user cognitive wireless network. They introduce the problem of joint spectrum sensing and power control as a maximization of the network throughput and a minimization of the interference to the network. These two optimization objectives can be achieved by a joint determination of sensing and transmission parameters of the secondary users, such as sensing times, decision threshold vectors, and power allocation vectors. There is a conflict between these two objectives, thus a multiobjective optimization problem is introduced. The authors propose an analytical approach based on Newton's methods and nonlinear barrier method to solve this large-scale joint multiobjective optimization problem.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jcini0:v:10:y:2016:i:2:p:26-51

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International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) is currently edited by Mehdi Khosrow-Pour, D.B.A.

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