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Adaptively Controlled Cooperative Spectrum Sensing Using OR Fusion Rule for Throughput Maximization in Cognitive Radio

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Abstract

Utilization of wireless spectrum resources should be improved with the great increase of using wireless services. Cognitive radio (CR) has been proposed to overcome the problem of inefficient use of spectrum holes. Spectrum sensing is the most important functional block, which is used to estimate the spectrum holes in the CR system. Cooperative spectrum sensing improves the detection performance and minimizes miss-detection of the primary user. The objective of this paper is to achieve the maximum throughput for all values signal-to-noise ratio (SNR). Cooperative spectrum sensing with fixed sensing time does not provide efficient throughput performance for all values of SNR. In this paper, we propose an adaptively controlled cooperative spectrum sensing scheme using OR fusion rule for throughput maximization in CR system. The proposed scheme estimates the required optimal sensing time for each value of the SNR to achieve the maximum throughput. Simulation results of the proposed scheme demonstrate that it maximizes the achieved throughput for all values of SNR and minimizes the probability of false alarm.

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References

  1. Akyildiz, F., Lee, W. Y., Vuran, M. C., & Mohanty, S. (2006). NeXt generation dynamic spectrum ccess cognitive radio wireless networks: A survey.Computer Networks,50, 2127–2159.

    Article  Google Scholar 

  2. Akyildiz, I. F., Lee, W.-Y., & Chowdhury, K. R. (2009). CRAHNs: Cognitive radioad hoc networks.Ad Hoc Networks,7(5), 810–836.

    Article  Google Scholar 

  3. Ma, J., Li, G., & Juang, B. H. (2009). Signal processing in cognitive radio.Proceedings of the IEEE,97(5), 805–823.

    Article  Google Scholar 

  4. Yucek, T., & Arslan, H. (2009). A survey of spectrum sensing algorithms for cognitive radio applications.IEEE Communications Surveys and Tutorials,11(1), 11–129.

    Article  Google Scholar 

  5. Haykin, S. (2005). Cognitive radio: Brain-empowered wireless communications.IEEE Journal on Selected Areas in Communications,23(2), 201–220.

    Article  Google Scholar 

  6. Letaief, K. B., & Zhang, W. (2009). Cooperative communications for cognitive radio networks.Proceedings of the IEEE,97(5), 878–893.

    Article  Google Scholar 

  7. Liu, X., Jiaand, M., & Tan, X. (2013). Threshold optimization of cooperative spectrum sensing in cognitive radio networks.Radio Science,48, 23–32.

    Article  Google Scholar 

  8. An, C., Siy, P., & Ji, H. (2011). Wideband spectrum sensing scheme in cognitive radio networks with multiple primary networks. InIEEEwcn-MACP (pp. 68–71).

  9. Abdulsattar, Mahmood A., & Hussein, Zahir A. (2012). Energy detection technique for spectrum sensing in cognitive radio: A survey.International Journal of Computer Networks and Communications (IJCNC),4(5), 223–241.

    Article  Google Scholar 

  10. You, C., Kwon, H., & Heo, J. (2011). Cooperative TV spectrum sensing in cognitive radio for wi-fi networks.IEEE Transactions on Consumer Electronics,57(1), 62–67.

    Article  Google Scholar 

  11. Visotsky, E., Kuffner, S., & Peterson, R. (2005). On collaborative detection of tv transmissions in support of dynamic spectrum sharing. InProceedings of IEEE DySPAN 2005 (pp. 338–345).

  12. Tang, L., Chen, Y., Hines, E. L., & Alouini, M. S. (2011). Effect of primary user traffic on sensing throughput tradeoff for cognitive radios.IEEE Transactions on Wireless Communications,10(4), 1063–1068.

    Article  Google Scholar 

  13. Zou, Y., Yao, Y.D., & Zheng, B. (2010). Spectrum sensing and data transmission tradeoff in cognitive radio networks. InIEEE wireless and optical communications conference (pp. 1–5), Article ID 5510601.

  14. Urkowitz, H. (1967). Energy detection of unknown deterministic signals.Proceedings of the IEEE,55, 523–531.

    Article  Google Scholar 

  15. Tang, H. (2005). Some physical layer issues of wide-band cognitive radio systems. InProceedings IEEE international symposium on new frontiers in dynamic spectrum access networks (pp. 151–159). Baltimore.

  16. Stotas, S., & Nallanathan, A. (2012). On the throughput and spectrum sensing enhancement of opportunistic spectrum access cognitive radio networks.IEEE Trans actions on Wireless Communictions,11(1), 97–104.

    Article  Google Scholar 

  17. Unnikrishnan, J., & Veeravalli, V. (2008). Cooperative sensing for primary detection in cognitive radio.IEEE Journal on Selected Areas in Signal Processing,2(1), 18–27.

    Article  Google Scholar 

  18. Chen, Y., Zhao, Q., & Swami, A. (2009). Distributed spectrum sensing and access in cognitive radio networks with energy constraint.IEEE Transactions on Signal Processing,57(2), 783–797.

    Article MathSciNet  Google Scholar 

  19. Maleki, S., Chepuri, S.P., & Leus, G. (2011). Energy and throughput efficient strategies for cooperative spectrum sensing in cognitive radios. InIEEE 12th international workshop on signal processing advances in wireless communications (pp. 71–75).

  20. Peh, E., & Liang, Y.-C. (2007). Optimization for cooperative sensing in cognitive radio networks. InProceedings IEEE wireless communication and networking conference (pp. 27–32). Hong Kong.

  21. Akyildiz, I. F., Lo, B. F., & Balakrishnan, R. (2011). Cooperative spectrum sensing in cognitive radio networks: A survey.Physical Communication,4(1), 40–62.https://doi.org/10.1016/j.phycom.2011.12.003.

    Article  Google Scholar 

  22. Qihang, P., Kun, Z., Jun, W., & Shaoqian, L. (2006). A distributed spectrum sensing scheme based on credibility and evidence theory in cognitive radio context. InProceedings IEEE international symposium on personal, indoor and mobile radio communication (pp. 1–5). Helsinki.

  23. Liang, Y.C., Zeng, Y., Peh, E., & Hoang, A.T. (2007). Sensing-throughput tradeoff for cognitive radio networks. InProceedings IEEE international conference on communication (pp. 5330–5335).

  24. Peh, E. C. Y., Liang, Y. C., Guan, Y. L., & Zeng, Y. (2009). Optimization of cooperative sensing in cognitive radio networks: A sensing-throughput tradeoff view.IEEE Transaction on Vehicular Technolgy,58(9), 5294–5299.

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt

    Mohamed Abou ElHassan, Mohammed Abd-Elnaby, Sami A. El-Dolil & Fathi E. Abd El-Samie

  2. Department of Computer Engineering, College of Computers and Information Technology, Taif University, Al-Hawiya, 21974, Kingdom of Saudi Arabia

    Mohammed Abd-Elnaby

Authors
  1. Mohamed Abou ElHassan

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  2. Mohammed Abd-Elnaby

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  3. Sami A. El-Dolil

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  4. Fathi E. Abd El-Samie

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Correspondence toMohamed Abou ElHassan.

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ElHassan, M.A., Abd-Elnaby, M., El-Dolil, S.A.et al. Adaptively Controlled Cooperative Spectrum Sensing Using OR Fusion Rule for Throughput Maximization in Cognitive Radio.Wireless Pers Commun109, 2095–2105 (2019). https://doi.org/10.1007/s11277-019-06234-z

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