A statistical weighting average approach for cognitive radio networks

Wensheng Zhang, Dongdong Xin, Hailiang Xiong, Weihong Zhu, Jin Qiu, Cheng-Xiang Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, a statistical weighting average (SWA) approach is proposed for cooperative spectrum sensing (CSS) system in Cognitive Radio Networks (CRNs). Two SWA algorithms, including ordered weighted average (OWA) and weighted ordered weighted average (WOWA), are initially designed in CRNs. In a weighting process, the final weighting factor (WF) for a distributed sensor is jointly determined by its previous sensing contributions and its currently gathered primary user (PU) samples. The WF is initially calculated by the sensing contributions, which are numerically calibrated by probability of detection. The gathered PU samples are used to further adjust the corresponding WF. Simulation results show that the proposed SWA approach can outperform the conventional weighting schemes.

Original languageEnglish
Title of host publication2016 19th International Symposium on Wireless Personal Multimedia Communications (WPMC)
PublisherIEEE
Pages74-78
Number of pages5
ISBN (Electronic)9784904020098
Publication statusPublished - 22 Jun 2017
Event19th International Symposium on Wireless Personal Multimedia Communications 2016 - Shenzhen, China
Duration: 14 Nov 201616 Nov 2016

Publication series

NameInternational Symposium on Wireless Personal Multimedia Communications
PublisherIEEE
ISSN (Print)1882-5621

Conference

Conference19th International Symposium on Wireless Personal Multimedia Communications 2016
Abbreviated titleWPMC 2016
CountryChina
CityShenzhen
Period14/11/1616/11/16

Fingerprint

Cognitive radio
Sensors

Keywords

  • CRNs
  • Ordered weighted average
  • Spectrum sensing
  • Statistical weighting average
  • Weighted ordered weighted average
  • Weighting factor

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Human-Computer Interaction

Cite this

Zhang, W., Xin, D., Xiong, H., Zhu, W., Qiu, J., & Wang, C-X. (2017). A statistical weighting average approach for cognitive radio networks. In 2016 19th International Symposium on Wireless Personal Multimedia Communications (WPMC) (pp. 74-78). (International Symposium on Wireless Personal Multimedia Communications). IEEE.
Zhang, Wensheng ; Xin, Dongdong ; Xiong, Hailiang ; Zhu, Weihong ; Qiu, Jin ; Wang, Cheng-Xiang. / A statistical weighting average approach for cognitive radio networks. 2016 19th International Symposium on Wireless Personal Multimedia Communications (WPMC). IEEE, 2017. pp. 74-78 (International Symposium on Wireless Personal Multimedia Communications).
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title = "A statistical weighting average approach for cognitive radio networks",
abstract = "In this paper, a statistical weighting average (SWA) approach is proposed for cooperative spectrum sensing (CSS) system in Cognitive Radio Networks (CRNs). Two SWA algorithms, including ordered weighted average (OWA) and weighted ordered weighted average (WOWA), are initially designed in CRNs. In a weighting process, the final weighting factor (WF) for a distributed sensor is jointly determined by its previous sensing contributions and its currently gathered primary user (PU) samples. The WF is initially calculated by the sensing contributions, which are numerically calibrated by probability of detection. The gathered PU samples are used to further adjust the corresponding WF. Simulation results show that the proposed SWA approach can outperform the conventional weighting schemes.",
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Zhang, W, Xin, D, Xiong, H, Zhu, W, Qiu, J & Wang, C-X 2017, A statistical weighting average approach for cognitive radio networks. in 2016 19th International Symposium on Wireless Personal Multimedia Communications (WPMC). International Symposium on Wireless Personal Multimedia Communications, IEEE, pp. 74-78, 19th International Symposium on Wireless Personal Multimedia Communications 2016, Shenzhen, China, 14/11/16.

A statistical weighting average approach for cognitive radio networks. / Zhang, Wensheng; Xin, Dongdong; Xiong, Hailiang; Zhu, Weihong; Qiu, Jin; Wang, Cheng-Xiang.

2016 19th International Symposium on Wireless Personal Multimedia Communications (WPMC). IEEE, 2017. p. 74-78 (International Symposium on Wireless Personal Multimedia Communications).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - In this paper, a statistical weighting average (SWA) approach is proposed for cooperative spectrum sensing (CSS) system in Cognitive Radio Networks (CRNs). Two SWA algorithms, including ordered weighted average (OWA) and weighted ordered weighted average (WOWA), are initially designed in CRNs. In a weighting process, the final weighting factor (WF) for a distributed sensor is jointly determined by its previous sensing contributions and its currently gathered primary user (PU) samples. The WF is initially calculated by the sensing contributions, which are numerically calibrated by probability of detection. The gathered PU samples are used to further adjust the corresponding WF. Simulation results show that the proposed SWA approach can outperform the conventional weighting schemes.

AB - In this paper, a statistical weighting average (SWA) approach is proposed for cooperative spectrum sensing (CSS) system in Cognitive Radio Networks (CRNs). Two SWA algorithms, including ordered weighted average (OWA) and weighted ordered weighted average (WOWA), are initially designed in CRNs. In a weighting process, the final weighting factor (WF) for a distributed sensor is jointly determined by its previous sensing contributions and its currently gathered primary user (PU) samples. The WF is initially calculated by the sensing contributions, which are numerically calibrated by probability of detection. The gathered PU samples are used to further adjust the corresponding WF. Simulation results show that the proposed SWA approach can outperform the conventional weighting schemes.

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Zhang W, Xin D, Xiong H, Zhu W, Qiu J, Wang C-X. A statistical weighting average approach for cognitive radio networks. In 2016 19th International Symposium on Wireless Personal Multimedia Communications (WPMC). IEEE. 2017. p. 74-78. (International Symposium on Wireless Personal Multimedia Communications).