American Journal of Networks and Communications

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Energy-Efficiency Joint Cooperative Spectrum Sensing and Power Allocation Scheme for Green Cognitive Radio Network: A Soft Decision Fusion Approach

Received: May 22, 2018    Accepted: Jul. 01, 2018    Published: Aug. 02, 2018
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Abstract

This paper focus on a jointly spectrum sensing parameter and energy efficiency (EE) optimization problem in OFDMA CRN system for enabling Green Communication. In this perspective, we firstly propose an algorithm to choose less spatially-correlated cognitive users to reduce the shadowing effect in wireless network. Furthermore, based on Lagrangian duality theorem with the aid of parametric transformation, the algorithm called an Iterative Dinkelbach Scheme (IDS) is proposed to optimize both transmission power allocation and sensing duration of the cognitive users (Cus) for maximizing Energy Efficiency under the constraints of overall outage of cognitive network, interference to the PU, maximum transmission power and minimum data rate requirement. Numerical result proves the effectiveness of our proposed algorithm. Compared with existing schemes, our proposed scheme outperforms in enhancing the EE with the same parameters.

DOI 10.11648/j.ajnc.20180702.11
Published in American Journal of Networks and Communications ( Volume 7, Issue 2, June 2018 )
Page(s) 6-16
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Cognitive Radio, Green Communication, Energy Efficiency, IDS Algorithm, Dinkelbach Method, Lagrangian Duality, Less Spatially-Correlated

References
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  • APA Style

    Nouhoum Satarou Abdoul Galeb Yari, Mbembo Loundou Varus, Dong Doan Van. (2018). Energy-Efficiency Joint Cooperative Spectrum Sensing and Power Allocation Scheme for Green Cognitive Radio Network: A Soft Decision Fusion Approach. American Journal of Networks and Communications, 7(2), 6-16. https://doi.org/10.11648/j.ajnc.20180702.11

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    ACS Style

    Nouhoum Satarou Abdoul Galeb Yari; Mbembo Loundou Varus; Dong Doan Van. Energy-Efficiency Joint Cooperative Spectrum Sensing and Power Allocation Scheme for Green Cognitive Radio Network: A Soft Decision Fusion Approach. Am. J. Netw. Commun. 2018, 7(2), 6-16. doi: 10.11648/j.ajnc.20180702.11

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    AMA Style

    Nouhoum Satarou Abdoul Galeb Yari, Mbembo Loundou Varus, Dong Doan Van. Energy-Efficiency Joint Cooperative Spectrum Sensing and Power Allocation Scheme for Green Cognitive Radio Network: A Soft Decision Fusion Approach. Am J Netw Commun. 2018;7(2):6-16. doi: 10.11648/j.ajnc.20180702.11

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  • @article{10.11648/j.ajnc.20180702.11,
      author = {Nouhoum Satarou Abdoul Galeb Yari and Mbembo Loundou Varus and Dong Doan Van},
      title = {Energy-Efficiency Joint Cooperative Spectrum Sensing and Power Allocation Scheme for Green Cognitive Radio Network: A Soft Decision Fusion Approach},
      journal = {American Journal of Networks and Communications},
      volume = {7},
      number = {2},
      pages = {6-16},
      doi = {10.11648/j.ajnc.20180702.11},
      url = {https://doi.org/10.11648/j.ajnc.20180702.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajnc.20180702.11},
      abstract = {This paper focus on a jointly spectrum sensing parameter and energy efficiency (EE) optimization problem in OFDMA CRN system for enabling Green Communication. In this perspective, we firstly propose an algorithm to choose less spatially-correlated cognitive users to reduce the shadowing effect in wireless network. Furthermore, based on Lagrangian duality theorem with the aid of parametric transformation, the algorithm called an Iterative Dinkelbach Scheme (IDS) is proposed to optimize both transmission power allocation and sensing duration of the cognitive users (Cus) for maximizing Energy Efficiency under the constraints of overall outage of cognitive network, interference to the PU, maximum transmission power and minimum data rate requirement. Numerical result proves the effectiveness of our proposed algorithm. Compared with existing schemes, our proposed scheme outperforms in enhancing the EE with the same parameters.},
     year = {2018}
    }
    

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    AU  - Nouhoum Satarou Abdoul Galeb Yari
    AU  - Mbembo Loundou Varus
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    T2  - American Journal of Networks and Communications
    JF  - American Journal of Networks and Communications
    JO  - American Journal of Networks and Communications
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    UR  - https://doi.org/10.11648/j.ajnc.20180702.11
    AB  - This paper focus on a jointly spectrum sensing parameter and energy efficiency (EE) optimization problem in OFDMA CRN system for enabling Green Communication. In this perspective, we firstly propose an algorithm to choose less spatially-correlated cognitive users to reduce the shadowing effect in wireless network. Furthermore, based on Lagrangian duality theorem with the aid of parametric transformation, the algorithm called an Iterative Dinkelbach Scheme (IDS) is proposed to optimize both transmission power allocation and sensing duration of the cognitive users (Cus) for maximizing Energy Efficiency under the constraints of overall outage of cognitive network, interference to the PU, maximum transmission power and minimum data rate requirement. Numerical result proves the effectiveness of our proposed algorithm. Compared with existing schemes, our proposed scheme outperforms in enhancing the EE with the same parameters.
    VL  - 7
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Author Information
  • School of Information Engineering, Wuhan University of Technology, Wuhan, China; Key Lab Broadband Wireless Communication and Sensor Networks, Ministry of Education, Wuhan University of Technology, Wuhan, China

  • School of Information Engineering, Wuhan University of Technology, Wuhan, China

  • School of Information Engineering, Wuhan University of Technology, Wuhan, China; Key Lab Broadband Wireless Communication and Sensor Networks, Ministry of Education, Wuhan University of Technology, Wuhan, China

  • Section