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

Nouhoum Satarou Abdoul Galeb Yari; Mbembo Loundou Varus; Dong Doan Van

doi:doi:10.11648/j.ajnc.20180702.11

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

Nouhoum Satarou Abdoul Galeb Yari, Mbembo Loundou Varus, Dong Doan Van

Published in American Journal of Networks and Communications (Volume 7, Issue 2)

Received: 22 May 2018 Accepted: 1 July 2018 Published: 2 August 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.

Published in	American Journal of Networks and Communications (Volume 7, Issue 2)
DOI	10.11648/j.ajnc.20180702.11
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), 2018. 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://article.sciencepublishinggroup.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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TY  - JOUR
T1  - Energy-Efficiency Joint Cooperative Spectrum Sensing and Power Allocation Scheme for Green Cognitive Radio Network: A Soft Decision Fusion Approach
AU  - Nouhoum Satarou Abdoul Galeb Yari
AU  - Mbembo Loundou Varus
AU  - Dong Doan Van
Y1  - 2018/08/02
PY  - 2018
N1  - https://doi.org/10.11648/j.ajnc.20180702.11
DO  - 10.11648/j.ajnc.20180702.11
T2  - American Journal of Networks and Communications
JF  - American Journal of Networks and Communications
JO  - American Journal of Networks and Communications
SP  - 6
EP  - 16
PB  - Science Publishing Group
SN  - 2326-8964
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
IS  - 2
ER  -

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Author Information

Nouhoum Satarou Abdoul Galeb Yari

School of Information Engineering, Wuhan University of Technology, Wuhan, China
Mbembo Loundou Varus

School of Information Engineering, Wuhan University of Technology, Wuhan, China
Dong Doan Van

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

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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

Copy | Download

@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://article.sciencepublishinggroup.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}
}

Copy | Download

TY  - JOUR
T1  - Energy-Efficiency Joint Cooperative Spectrum Sensing and Power Allocation Scheme for Green Cognitive Radio Network: A Soft Decision Fusion Approach
AU  - Nouhoum Satarou Abdoul Galeb Yari
AU  - Mbembo Loundou Varus
AU  - Dong Doan Van
Y1  - 2018/08/02
PY  - 2018
N1  - https://doi.org/10.11648/j.ajnc.20180702.11
DO  - 10.11648/j.ajnc.20180702.11
T2  - American Journal of Networks and Communications
JF  - American Journal of Networks and Communications
JO  - American Journal of Networks and Communications
SP  - 6
EP  - 16
PB  - Science Publishing Group
SN  - 2326-8964
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
IS  - 2
ER  -

Copy | Download