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Hidden Node Scenario: A Case for Cooperative Spectrum Sensing in Cognitive Radio Networks

Affiliations

  • Faculty of Electrical Engineering, University Technology Malaysia, 81310 UTM Skudai, Johor Bahru, Malaysia

Abstract


Objective: Cognitive radio technology allows the opportunistic usage of licensed spectrum resources by unlicensed users. The most important function of the cognitive radio technology is spectrum sensing. In hidden node scenarios, cooperation among cognitive radio nodes is needed to improve the sensing performance. In this work, the benefits of cooperative spectrum sensing are illustrated in a hidden node environment. Methods/Statistical Analysis: The distributed cooperative sensing approach was adopted for the implementation. Universal Software Radio Peripheral was used in collecting spectrum data and results were analysed using MATLAB software toolkit. Findings: Cooperative spectrum sensing among cognitive radio nodes operating at the same frequency improves the probability of detection, and the overall efficiency of the system. Results shows that the cooperative sensing scheme outperforms the individual sensing approach keeping in mind the number of collected samples as the key performance indicator. Applications/Improvements: The results obtained show that the frequency spectrum is underutilised. There is a need to explore the present spectrum holes and improve on the available sensing techniques for the implementation of cognitive radio networks in the future.

Keywords

Cognitive Radio, Cooperative Spectrum Sensing, Hidden Node, Spectrum Sensing.

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References


  • Mitola J. Cognitive Radio: An integrated agent architecture for software defined radio. Doctor of Technology Thesis, Royal Institute of Technology. 2000. p.313.
  • The definition of disability in Australia: moving towards national consistency. http://www.aihw.gov.au/mediareleasedetail/?id=6442464253.Date Accessed: 2015.
  • ETSI 13– Terms and Definitions Database Interactive.http://webapp.etsi.org/Teddi. Date Accessed: 2015.
  • Ganesan G, Li Y. Cooperative spectrum sensing in cognitive radio, part I: Two User Networks. IEEE Transaction on Wireless Communication. 2007 Jun; 6(6):2204–13.
  • Ghasemi A., Sousa E. Collaborative spectrum sensing for opportunistic access in fading environments. Proceedings of IEEE DySPAN’05. 2005. p. 131–36.
  • Wireless Innovation Forum.www.wirelessinnovation.org, Date Accessed: 03/09/2016.
  • Chen R, Park J M, Bian K. Robust distributed spectrum sensing in cognitive radio networks. Proceedings of The 27th Conference on Computer Communications, INFOCOM, IEEE. 2008. p. 1876–84.
  • Cabric D, Tkachenko A, Brodersen R. Spectrum sensing measurements of pilot, Energy, and Collaborative Detection, in Proceeding of IEEE Military Communication Conference, Washington, DC, 2006. p. 1–7.
  • Ganesan G, Li Y. Cooperative spectrum sensing in cognitive radio networks,” in Proceeding of IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, Baltimore, Maryland, 2005 Nov; p. 137–43.
  • Yusof K H, Rahim M K A, Yusof K M, Jalil M E. energy detection spectrum sensing measurement using GNU Radio and USRP B200 at Wi-Fi Frequency. Springer International Publishing Switzerland 2015.
  • Kortun A. on The performance of eigen value-based cooperative spectrum sensing for cognitive radio, IEEE Symposium on New Frontiers in Dynamic Spectrum.2010.
  • Stevenson C R, Cordeiro C, Sofer E, Chouinard G.Functional Requirements for the 802.22 WRAN Standard.
  • IEEE Technical Report.2005.

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