Research on Spectrum Resources Spatial Reuse Algorithm Based on Game Theory in Cognitive Radio

Fulai Liu; Zhenxing Sun; Ruiyan Du; Lei Shi

doi:doi:10.11648/j.sd.20170505.19

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Research on Spectrum Resources Spatial Reuse Algorithm Based on Game Theory in Cognitive Radio

Fulai Liu, Zhenxing Sun, Ruiyan Du, Lei Shi

Published in Science Discovery (Volume 5, Issue 5)

Received: 13 August 2017 Published: 17 August 2017

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Abstract

In cognitive radio system, spectrum reuse is one of the main methods to improve the utilization of spectrum resources. Nevertheless, it has been unable to further improve spectrum efficiency that the reuse is implemented exclusively from the dimension of frequency. Taking account of the problem of spectrum resource spatial reuse in addition to the reuse of frequency, and aiming at the problem of the network transmission power optimization based on spectrum resource spatial reuse method in cognitive network, this paper proposes a spectrum resource spatial reuse algorithm based on Game Theory. Game theory is used by the algorithm to establish a game model of spectrum resources spatial reuse. A price function based on the channel quality is introduced to ensure the fairness of cognitive user to allocate power in each channel. A successive over relaxation iteration algorithm is used to solve the Nash equilibrium. Simulation results confirm that the proposed algorithm not only has high reliable detection performance to reduce the total transmission power, but also can ensure the service quality of cognitive users.

Published in	Science Discovery (Volume 5, Issue 5)
DOI	10.11648/j.sd.20170505.19
Page(s)	355-361
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), 2017. Published by Science Publishing Group

Keywords

Cognitive Radio, Spatial Reuse, Game Theory, Power Allocation

References

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[3]	P. W．登特．从公共天线发射多个无线电信道频率信号的发射机和方法：中国，00819007.3 [P]. 2006-07-26。
[4]	Kolodzy. Next generation communications: Kichoff meeting [J]. Proc.Darpa.2001, (10): 3-26.
[5]	Pan C, Su C, Ren H, et al. An online algorithm of energy-efficient and interference suppression beamforming for cognitive MISO-OFDM interference channels [C]. IEEE International Conference on Wireless Communications & Signal Processing (WCSP), 2013: 1-6.
[6]	Dahrouj H, Yu W. Coordinated beamforming for the multicell multi-antenna wireless system [J]. IEEE Transactions on Wireless Communications, 2010, 9(5): 1748-1759.
[7]	Nedic A, Ozdaglar A. Distributed subgradient methods for multi-agent optimization [J]. IEEE Transactions on Automatic Control, 2009, 54(1): 48-61.
[8]	詹德睿．认知无线电中频谱共享技术研究[D]. 北京邮电大学，2013。
[9]	Nguyen D N, Krunz M. Price-based joint beamforming and spectrum management in multi-antenna cognitive radio networks [J]. IEEE Journal on Selected Areas in Communications, 2012, 30(11): 2295-2305.
[10]	刘秉瑞，李乾．基于认知无线电的空时域频谱共享研究[J]．移动通信，2016, 40(12): 46-51。
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[13]	Nguyen D N, Krunz M. Power minimization in MIMO cognitive networks using beamforming games [J]. IEEE Journal on Selected Areas in Communications, 2013, 31(5): 916-925.
[14]	Scutari G, Palomar D P, Barbarossa S. Asynchronous iterative water-filling for Gaussian frequency-selective interference channels [J]. IEEE Transactions on Information Theory, 2008, 54(7): 2868-2878.

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APA Style

Fulai Liu, Zhenxing Sun, Ruiyan Du, Lei Shi. (2017). Research on Spectrum Resources Spatial Reuse Algorithm Based on Game Theory in Cognitive Radio. Science Discovery, 5(5), 355-361. https://doi.org/10.11648/j.sd.20170505.19

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ACS Style

Fulai Liu; Zhenxing Sun; Ruiyan Du; Lei Shi. Research on Spectrum Resources Spatial Reuse Algorithm Based on Game Theory in Cognitive Radio. Sci. Discov. 2017, 5(5), 355-361. doi: 10.11648/j.sd.20170505.19

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AMA Style

Fulai Liu, Zhenxing Sun, Ruiyan Du, Lei Shi. Research on Spectrum Resources Spatial Reuse Algorithm Based on Game Theory in Cognitive Radio. Sci Discov. 2017;5(5):355-361. doi: 10.11648/j.sd.20170505.19

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@article{10.11648/j.sd.20170505.19,
  author = {Fulai Liu and Zhenxing Sun and Ruiyan Du and Lei Shi},
  title = {Research on Spectrum Resources Spatial Reuse Algorithm Based on Game Theory in Cognitive Radio},
  journal = {Science Discovery},
  volume = {5},
  number = {5},
  pages = {355-361},
  doi = {10.11648/j.sd.20170505.19},
  url = {https://doi.org/10.11648/j.sd.20170505.19},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20170505.19},
  abstract = {In cognitive radio system, spectrum reuse is one of the main methods to improve the utilization of spectrum resources. Nevertheless, it has been unable to further improve spectrum efficiency that the reuse is implemented exclusively from the dimension of frequency. Taking account of the problem of spectrum resource spatial reuse in addition to the reuse of frequency, and aiming at the problem of the network transmission power optimization based on spectrum resource spatial reuse method in cognitive network, this paper proposes a spectrum resource spatial reuse algorithm based on Game Theory. Game theory is used by the algorithm to establish a game model of spectrum resources spatial reuse. A price function based on the channel quality is introduced to ensure the fairness of cognitive user to allocate power in each channel. A successive over relaxation iteration algorithm is used to solve the Nash equilibrium. Simulation results confirm that the proposed algorithm not only has high reliable detection performance to reduce the total transmission power, but also can ensure the service quality of cognitive users.},
 year = {2017}
}

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TY  - JOUR
T1  - Research on Spectrum Resources Spatial Reuse Algorithm Based on Game Theory in Cognitive Radio
AU  - Fulai Liu
AU  - Zhenxing Sun
AU  - Ruiyan Du
AU  - Lei Shi
Y1  - 2017/08/17
PY  - 2017
N1  - https://doi.org/10.11648/j.sd.20170505.19
DO  - 10.11648/j.sd.20170505.19
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 355
EP  - 361
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20170505.19
AB  - In cognitive radio system, spectrum reuse is one of the main methods to improve the utilization of spectrum resources. Nevertheless, it has been unable to further improve spectrum efficiency that the reuse is implemented exclusively from the dimension of frequency. Taking account of the problem of spectrum resource spatial reuse in addition to the reuse of frequency, and aiming at the problem of the network transmission power optimization based on spectrum resource spatial reuse method in cognitive network, this paper proposes a spectrum resource spatial reuse algorithm based on Game Theory. Game theory is used by the algorithm to establish a game model of spectrum resources spatial reuse. A price function based on the channel quality is introduced to ensure the fairness of cognitive user to allocate power in each channel. A successive over relaxation iteration algorithm is used to solve the Nash equilibrium. Simulation results confirm that the proposed algorithm not only has high reliable detection performance to reduce the total transmission power, but also can ensure the service quality of cognitive users.
VL  - 5
IS  - 5
ER  -

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Author Information

Fulai Liu

Engineering Optimization & Smart Antenna Institute, Northeastern University at Qinhuangdao, Qinhuangdao, China
Zhenxing Sun

School of Computer Science and Engineering, Northeastern University, Shenyang, China
Ruiyan Du

Engineering Optimization & Smart Antenna Institute, Northeastern University at Qinhuangdao, Qinhuangdao, China
Lei Shi

Spreadtrum Communications Company Limited, Shanghai, China

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Plain Text BibTeX RIS

APA Style

Fulai Liu, Zhenxing Sun, Ruiyan Du, Lei Shi. (2017). Research on Spectrum Resources Spatial Reuse Algorithm Based on Game Theory in Cognitive Radio. Science Discovery, 5(5), 355-361. https://doi.org/10.11648/j.sd.20170505.19

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ACS Style

Fulai Liu; Zhenxing Sun; Ruiyan Du; Lei Shi. Research on Spectrum Resources Spatial Reuse Algorithm Based on Game Theory in Cognitive Radio. Sci. Discov. 2017, 5(5), 355-361. doi: 10.11648/j.sd.20170505.19

Copy | Download

AMA Style

Fulai Liu, Zhenxing Sun, Ruiyan Du, Lei Shi. Research on Spectrum Resources Spatial Reuse Algorithm Based on Game Theory in Cognitive Radio. Sci Discov. 2017;5(5):355-361. doi: 10.11648/j.sd.20170505.19

Copy | Download

@article{10.11648/j.sd.20170505.19,
  author = {Fulai Liu and Zhenxing Sun and Ruiyan Du and Lei Shi},
  title = {Research on Spectrum Resources Spatial Reuse Algorithm Based on Game Theory in Cognitive Radio},
  journal = {Science Discovery},
  volume = {5},
  number = {5},
  pages = {355-361},
  doi = {10.11648/j.sd.20170505.19},
  url = {https://doi.org/10.11648/j.sd.20170505.19},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20170505.19},
  abstract = {In cognitive radio system, spectrum reuse is one of the main methods to improve the utilization of spectrum resources. Nevertheless, it has been unable to further improve spectrum efficiency that the reuse is implemented exclusively from the dimension of frequency. Taking account of the problem of spectrum resource spatial reuse in addition to the reuse of frequency, and aiming at the problem of the network transmission power optimization based on spectrum resource spatial reuse method in cognitive network, this paper proposes a spectrum resource spatial reuse algorithm based on Game Theory. Game theory is used by the algorithm to establish a game model of spectrum resources spatial reuse. A price function based on the channel quality is introduced to ensure the fairness of cognitive user to allocate power in each channel. A successive over relaxation iteration algorithm is used to solve the Nash equilibrium. Simulation results confirm that the proposed algorithm not only has high reliable detection performance to reduce the total transmission power, but also can ensure the service quality of cognitive users.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Research on Spectrum Resources Spatial Reuse Algorithm Based on Game Theory in Cognitive Radio
AU  - Fulai Liu
AU  - Zhenxing Sun
AU  - Ruiyan Du
AU  - Lei Shi
Y1  - 2017/08/17
PY  - 2017
N1  - https://doi.org/10.11648/j.sd.20170505.19
DO  - 10.11648/j.sd.20170505.19
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 355
EP  - 361
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20170505.19
AB  - In cognitive radio system, spectrum reuse is one of the main methods to improve the utilization of spectrum resources. Nevertheless, it has been unable to further improve spectrum efficiency that the reuse is implemented exclusively from the dimension of frequency. Taking account of the problem of spectrum resource spatial reuse in addition to the reuse of frequency, and aiming at the problem of the network transmission power optimization based on spectrum resource spatial reuse method in cognitive network, this paper proposes a spectrum resource spatial reuse algorithm based on Game Theory. Game theory is used by the algorithm to establish a game model of spectrum resources spatial reuse. A price function based on the channel quality is introduced to ensure the fairness of cognitive user to allocate power in each channel. A successive over relaxation iteration algorithm is used to solve the Nash equilibrium. Simulation results confirm that the proposed algorithm not only has high reliable detection performance to reduce the total transmission power, but also can ensure the service quality of cognitive users.
VL  - 5
IS  - 5
ER  -

Copy | Download