Skip to main content

An Enhanced Cooperative Spectrum Sensing Scheme Based on New Rule of Combining Evidences in Cognitive Radio

  • Conference paper
  • First Online:
Ubiquitous Computing Application and Wireless Sensor

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 331))

  • 1568 Accesses

Abstract

Cognitive radio (CR) is a technology that enables the solution of the spectrum scarcity problem in wireless communication and is based on the concept of opportunistic spectrum access. Spectrum sensing is an essential functionality that enables CRs to detect spectral holes and opportunistically use under-utilized frequency bands without harmfully interfering to licensed users (LU). Spectrum sensing is highly affected by fading and shadowing. To overcome this, cooperative spectrum sensing was introduced. The decision of cooperative users can be combined using centralized or decentralized method. In this paper, we propose a new rule of combining evidences of users when they are highly conflicting, because in this situation the conventional Dempster-Shafer (D-S) combination rule produces illogical results. With our proposed system, we show that the reliability of the system increases as compared to the conventional D-S theory of combination rule. The simulation results show that our proposed system outperform the conventional D-S theory of combination.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. FCC (2001) Notice of proposed rule making and order. ET, Docket No. 03-322

    Google Scholar 

  2. Gorein A, Thiagarajan B (2007) A signal identification application for cognitive radio. In: SDR forum technical conference

    Google Scholar 

  3. Yucek T, Arsalan H (2009) A survey of spectrum sensing algorithm for cognitive radio application. IEEE Commun Surv Tutor 11:116–130

    Google Scholar 

  4. Srinu S, Sabat SL (2012) FPGA implementation and performance study of spectrum sensing based on entropy estimation using cyclic feature. Comput Electr Eng 38:1658–1669 (Elsevier)

    Google Scholar 

  5. Peng Q, Zeng K, Wang J, Li S (2006) A distributed spectrum sensing based on credibility and evidence theory in cognitive radio context. In: 17th international symposium on personal, indoor and mobile radio communication. IEEE, Helsinki, pp 1–5

    Google Scholar 

  6. Nguyen-Thanh N, Koo I (2009) An enhanced cooperative spectrum sensing scheme based on evidence theory and reliability source evaluation in cognitive radio context. IEEE Commun Lett 13:492–494

    Google Scholar 

  7. Chen H, Liu J (2010) Cooperative spectrum sensing based on double threshold detection and Dempster-Shafer theory. In: 12th international conference on communication technology (ICCT). IEEE, Nanjing, pp 1212–1215

    Google Scholar 

  8. Xing X, Wang W, Wang Z, Liu K (2013) Weighted cooperative spectrum sensing based on D-S evidence theory and double threshold detection. In: 5th international symposium on microwave, antenna, propagation and EMC technologies for wireless communication (MAPE). IEEE, Chengdu, pp 145–149

    Google Scholar 

  9. Nguyen-Thanh N, Koo I (2007) An efficient ordered sequential cooperative spectrum scheme based on evidence theory in cognitive radio. IEICE Trans Commun E93-B:3248–3257

    Google Scholar 

  10. Urkowitz H (1967) Energy detection of unknown deterministic signals. Proc IEEE 55:523–531

    Google Scholar 

  11. Ali T, Dutta P, Boruah H (2012) A new combination rule for conflict problem of Dempster-Shafer evidence theory. Int J Energy Inf Commun 3:35–40

    Google Scholar 

Download references

Acknowledgement

This work was supported by the KRF funded by the MEST (NRF-2012R1A1A2038831).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Insoo Koo .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer Science+Business Media Dordrecht

About this paper

Cite this paper

Khan, M.S., Koo, I. (2015). An Enhanced Cooperative Spectrum Sensing Scheme Based on New Rule of Combining Evidences in Cognitive Radio. In: Park, J., Pan, Y., Chao, HC., Yi, G. (eds) Ubiquitous Computing Application and Wireless Sensor. Lecture Notes in Electrical Engineering, vol 331. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9618-7_8

Download citation

  • DOI: https://doi.org/10.1007/978-94-017-9618-7_8

  • Published:

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-017-9617-0

  • Online ISBN: 978-94-017-9618-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics