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Optimal Spectrum Allocation of Cognitive Radio Network Under Underlay Model

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Abstract

Cognitive radio has been regarded as a promising technology to improve spectrum utilization significantly. Many studies have discussed underlay spectrum sharing and power control, but issues such as the interference of the primary system have just been considered as the constraint. In this paper, we build a spectrum allocation mathematical model which considers different interference intensity according to relative geographic locations between two SLs in the spectrum-sharing mode of cognitive radio network. Then it’s converted into multi-objective optimization problem. To solve the spectrum sharing problem, the multi-objective improved genetic algorithm is adopted. Simulation results show that our proposed methods greatly outperform the commonly used K-max-cut in graph theory. It can better realize the network benefit maximization and reduce the disturbance to the primary system by using the multi-objective optimization algorithm.

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Acknowledgements

The research work is supported by Nation Nature Science Foundation of China (No. 51507063), Beijing Nature Science Foundation (No. 4142049), and Nation 863 Program (No. 2014AA01A701).

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Authors and Affiliations

  1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Changping District, Beijing, 102206, China

    Run-ze Wu, Li-yuan Gao, Liang-rui Tang & Jia-jia Zhu

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  1. Run-ze Wu
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  2. Li-yuan Gao
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  3. Liang-rui Tang
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  4. Jia-jia Zhu
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Correspondence to Li-yuan Gao.

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Wu, Rz., Gao, Ly., Tang, Lr. et al. Optimal Spectrum Allocation of Cognitive Radio Network Under Underlay Model. Wireless Pers Commun 97, 469–481 (2017). https://doi.org/10.1007/s11277-017-4514-7

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  • DOI: https://doi.org/10.1007/s11277-017-4514-7

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