Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Research Journal of Applied Sciences, Engineering and Technology


Adaptive Double Threshold with Multiple Energy Detection Technique in Cognitive Radio

J. Avila and K. Thenmozhi
Department of ECE, School of EEE, SASTRA University, Thanjavur, Tamil Nadu, India
Research Journal of Applied Sciences, Engineering and Technology  2015  11:1336-1342
http://dx.doi.org/10.19026/rjaset.10.1831  |  © The Author(s) 2015
Received: April ‎9, ‎2015  |  Accepted: April ‎22, ‎2015  |  Published: August 15, 2015

Abstract

The Cognitive Radio (CR) network is a system which lends help at the time of scarcity in spectrum. One of the process by which CR senses the spectrum is energy detection method with a fixed single threshold. When energy levels fall below the threshold, secondary user is permitted to use the spectrum of the primary user. It is shown by simulation results that having two levels of threshold i.e., double threshold improves performance by giving importance to one of the major aspects of CR, reducing the confliction of the primary and the secondary user. For enhanced performance under noise conditions, dynamic allocation or adaptive threshold is employed with the two levels of threshold. The system is made better by the use of multiple energy detectors on the reception end.

Keywords:

Adaptive threshold, cognitive radio , double threshold , energy detection,


References

  1. Atapattu, S., C. Tellambura and J. Hai, 2011. Energy detection based cooperative spectrum sensing in cognitive radio networks. IEEE T. Wirel. Commun., 10(4): 1232-1241.
    CrossRef    
  2. Bagwari, A. and G.S. Tomar, 2014. Multiple energy detection Vs cyclostationary feature detection spectrum sensing technique. Proceeding of the 4th International Conference on Communication Systems and Network Technologies, pp: 178-181.
    CrossRef    
  3. Chabbra, K., G. Mahendru and P. Banerjee, 2014. Effect of dynamic threshold & noise uncertainty in energy detection spectrum sensing technique for cognitive radio systems. Proceeding of the International Conference on Signal Processing and Integrated Networks, pp: 361-377.
    CrossRef    
  4. Dong-Chan, O. and L. Yong-Hwan, 2009. Energy detection based spectrum sensing for sensing error minimization in cognitive radio networks. Int. J. Commun. Netw. Info. Secur., 11: 960-965.
  5. Ejaz, W., N.U. Hasan and H.S. Kim, 2012. SNR-based adaptive spectrum sensing for cognitive radio networks. Int. J. Innov. Comput. I., 8(9): 6095-6105.
  6. Fang, L., W. Jinkuan and H. Yinghua, 2013. An adaptive double thresholds scheme for spectrum sensing in cognitive radio networks. Proceeding of the IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC, 2013), pp: 1-5.
  7. Furrtado, A., L. Irio, R. Oliveira, L. Bernardo and R. Dinis, 2015. Spectrum sensing performance in Cognitive Radio networks with multiple primary users. IEEE T. Veh. Technol., PP(99): 1-1.
  8. Gorcin, A., K.A. Qaraqe, H. Celebi and H. Arslan, 2010. An adaptive threshold method for spectrum sensing in multi-channel cognitive radio networks. Proceeding of the 17th IEEE International Conference on Telecommunications, pp: 425-429.
    CrossRef    
  9. Horgan, D. and C.C. Murphy, 2010. Voting rule optimization for double threshold energy detector-based cognitive radio networks. Proceeding of the 4th International Conference on Signal Processing and Communication Systems, pp: 1-8.
  10. Jinbo, W., L. Tao and Y. Guangxin, 2009. An energy detection algorithm based on double-threshold in cognitive radio systems. Proceeding of the 1st International Conference on Information Science and Engineering (ICISE, 2009), pp: 493-496.
  11. Jong-Whan, L., K. Jong-Ho, O. Hyeong-Joo and H. Seung-Hoon, 2008. Energy detector using adaptive-fixed thresholds in cognitive radio systems. Proceeding of the 14th Asia Pacific Conference on Communications, pp: 1-4.
  12. Kale Sandikar, R.S., V.M. Wadhai and J.B. Helonde, 2013. Efficient spectrum sensing in cognitive radio using energy detection method with new threshold formulation. Proceeding of the Annual International Conference on Emerging Research Areas and 2013 International Conference on Microelectronics, Communications and Renewable Energy, pp: 1-5.
    CrossRef    
  13. Nair, P.R., A.P. Vinod and A.K. Krishna, 2010. An adaptive threshold based energy detector for spectrum sensing in cognitive radios at low SNR. Proceeding of the IEEE Conference on Communication Systems (ICCS, 2010), pp: 574-578.
  14. Nastace, C.V., A. Martian, C. Vladeanu and I. Marghescu, 2014. An accurate average energy detection algorithm for spectrum sensing in cognitive radio systems. Proceeding of the 11th International Symposium on Electronics and Telecommunications (ISETC, 2014), pp: 1-4.
    CrossRef    
  15. Xiang, L., W. Bin, W. Hong, H. Pin-Han, B. Zhiqiang and P. Lili, 2012. Adaptive threshold control for energy detection based spectrum sensing in cognitive radios. IEEE Wirel. Commun. Lett., 1(5): 448-451.
    CrossRef    
  16. Xu, J.Y. and F. Alam, 2009. Adaptive energy detection for cognitive radio: An experimental study. Proceeding of the 12th International Conference on Computer and Information Technology, pp: 547-551.
    CrossRef    
  17. Yixian, L., Z. Chunyan, W. Hongjiang and W. Gang, 2010. Energy detection threshold optimization for cooperative spectrum sensing. Proceeding of the 2nd International Conference on Advanced Computer Control, pp: 566-570.
    CrossRef    

Competing interests

The authors have no competing interests.

Open Access Policy

This article is 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, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved