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Cooperative Sensing for Cognitive Radio: A Powerful Access Method for Shadowing Environment

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Abstract

Cognitive radio (CR) is an emerging technology developed to overwhelm the problems like underutilization of the spectrum and spectrum scarcity based on the revolutionary ideas. To take control over the spectrum scarcity and underutilization, several bodies headed by the Federal Communications Commission (FCC), have been taking action to make new paradigm of spectrum management. In 2002 report, the FCC has pointed out that more than 70 % of the radio spectrum, is underutilized in certain times or geographic locations. Hence, spectrum scarcity is not attributable to a fundamental lack of spectrum instead because of the waste of static spectrum allocation. The energy detection spectrum sensing is used in this article that is considered to be simple and best method for sensing techniques. In this paper, two major issues of energy detection method, i.e. noise uncertainty and hidden node problem are discussed and solved. To overcome noise uncertainty, M-ary QAM technique is proposed that increases the overall performance with respect to probability of false alarm and probability of missed detection by 3 % at a same latency time. When CR experiences shadowing or fading effect; under such cases, the user cannot distinguish between an unused band and a deep fade, often consider as a hidden node problem. To overcome this problem, cooperative fusion Sensing with a combination of AND and OR logic of a primary user is done by increasing the cognitive/secondary user up to 11. Simulation results using MATLAB shows that both these techniques overcome both the issues and improves significantly the overall Cognitive system performance.

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References

  1. Report of The Spectrum Efficiency Working Group. (2002). Federal Communication Commission Spectrum Policy Task Force, ET Docket no. 02–135. http://transition.fcc.gov/sptf/files/E%26UWGFinalReport.pdf. Accessed 03 July 2013.

  2. Singh, J. S. P., Singh, J., & Kang, A. S. (2013). Cognitive radio: State of research domain in next generation wireless networks—A critical analysis. International Journal of Computer Applications. doi:10.5120/12918-9741.

  3. Banerjee, J. S., & Karmakar, K. (2012). A comparative study on cognitive radio implementation issues. International Journal of Computer Applications, 45(15), 44–51.

    Google Scholar 

  4. Aziz, N. (2013). Software defined cognitive radio using Matlab. http://www.scribd.com/doc/194146612/Software-Defined-Cognitive-Radio-Using-Matlab. Accessed 07 July 2013.

  5. Mitola, J., & Maguire, G. Q., Jr. (1999). Cognitive radio: Making software radios more personal. IEEE Personal communications. doi:10.1109/98.788210.

  6. Mitola, J. (2000). Cognitive radio: An integrated agent architecture for software defined radio. PhD Dissertation Report. http://web.it.kth.se/~maguire/jmitola/Mitola_Dissertation8_Integrated.pdf. Accessed 07 July 2013.

  7. Akyildiz, I. F., Lee, W. Y., Vuran, M. C., & Mohanty, S. (2006). Next generation/ dynamic spectrum access/cognitive radio wireless networks: A survey. Computer Networks. doi:10.1016/j.comnet.2006.05.001.

  8. Ghasemi, A., & Sousa, E. S. (2005). Collaborative spectrum sensing for opportunistic access in fading environments. In IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Network (DySPAN). doi:10.1109/DYSPAN.2005.1542627.

  9. Ganesan, G., & Ye, L. (2007). Cooperative spectrum sensing in cognitive radio. Part I: Two user networks. IEEE Transactions on Wireless Communications. doi:10.1109/TWC.2007.05775.

  10. Ganesan, G., & Ye, L. (2007). Cooperative spectrum sensing in cognitive radio. Part II: Multiuser networks. IEEE Transactions on Wireless Communications. doi:10.1109/TWC.2007.05776.

  11. Letaief, K. B., & Zhang, W. (2009). Cooperative communications for cognitive radio networks. Proceedings of the IEEE. doi:10.1109/JPROC.2009.2015716.

  12. Ahmadi, M., Rohani, E., Naeeni, P. M., & Fakhraie, S. M. (2010). Modeling and performance evaluation of IEEE 802.22 physical layer. In 2nd International conference on future computer and communication (ICFCC). doi:10.1109/ICFCC.2010.5497683.

  13. Atapattu, S., Tellambura, C., & Jiang, H. (2011). Energy detection based cooperative sensing in cognitive radio networks. IEEE Transactions on Wireless Communications. doi:10.1109/TWC.2011.012411.100611.

  14. Sendonaris, A., Erkip, E., & Aazhang, B. (2003). User cooperation diversity. Part I: System description. IEEE Transactions on Communications. doi:10.1109/TCOMM.2003.818096.

  15. Sendonaris, A., Erkip, E., & Aazhang, B. (2003). User cooperation diversity. Part II: Implementation aspects and performance analysis. IEEE Transactions on Communications. doi:10.1109/TCOMM.2003.819238.

  16. Digham, F. F., Alouini, M. S., & Simon, M. K. (2007). On the energy detection of unknown signals over fading channels. IEEE Transactions on Communications. doi:10.1109/TCOMM.2006.887483.

  17. Singh, J. S. P., Singh, J., Kang, A. S., & Rai, M. (2013). Cooperative fusion sensing technique for cognitive radio: An efficient detection method for shadowing environment. In Proceedings of international conference on computing sciences (Vol. 2, pp. 70–79). London: Elsevier Publications.

  18. Singh, J. S. P., Rai, M. K., Singh, J., & Kang, A. S. (2014). Trade-off between AND and OR detection method for cooperative sensing in cognitive radio. IEEE International Advance Computing Conference. doi:10.1109/IAdCC.2014.6779356.

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Acknowledgments

First author is highly thankful to Dr. Davinder Pal Sharma, DSP Research Lab, University of West Indies, Dr. B.P. Patil, Prof. & Head, Army Institute of Technology, Pune and Dr. Suyeb Ahmed Khan for providing useful information as well as critical remarks. The valuable help rendered by Hardeep Singh, Research Fellow, DSP Research Lab, Department of Electronic Technology, GNDU Amritsar, India and Harjit Singh, Research Scholar, NIT-Jalandhar India are also acknowledged.

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Authors and Affiliations

  1. Department of Electronics and Communication, LPU, Phagwara, India

    Jai Sukh Paul Singh & Mritunjay Kumar Rai

  2. Department of Electronics and Communication, BCET, Gurdaspur, India

    Rajwinder Singh

  3. Department of Electronics Technology, GNDU, Amritsar, India

    Jasvir Singh

  4. Department of Electronics and Communication, Panjab University, Chandigarh, India

    A. S. Kang

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  1. Jai Sukh Paul Singh
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  2. Rajwinder Singh
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  3. Mritunjay Kumar Rai
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  4. Jasvir Singh
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  5. A. S. Kang
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Correspondence to Jai Sukh Paul Singh.

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Singh, J.S.P., Singh, R., Rai, M.K. et al. Cooperative Sensing for Cognitive Radio: A Powerful Access Method for Shadowing Environment. Wireless Pers Commun 80, 1363–1379 (2015). https://doi.org/10.1007/s11277-014-2088-1

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