Optimal Sensing and Transmission of Energy Efficient Cognitive Radio Networks

  • Meenakshi AwasthiEmail author
  • M. J. Nigam
  • Vijay Kumar


The issue of spectrum scarcity can be alleviated by the cognitive radio technology with efficient spectrum sensing and allocation of free spectrum bands. In Cognitive Radio Networks energy efficiency improvement is the state of art now days. This paper considers the case of primary user protection from cognitive user transmission to optimize the energy efficiency. The parameters of optimal design problem are sensing, transmission time and transmission power. A Sub Optimal Iterative Search Algorithm is proposed to maximize efficiency by optimizing sensing time and transmitting time. Simulation results exhibits substantial improvement in energy efficiency compared to the recent algorithms.


Cognitive radio networks Sensing time Transmission time Transmission power Energy efficiency 



  1. 1.
    Mitola, J., & Maguire, G. Q. (1999). Cognitive radio: making software radios more personal. IEEE Personal Communication Magazine,6(4), 13–18.CrossRefGoogle Scholar
  2. 2.
    Kaur, K., Rattan, M., & Patterh, M. S. (2013). Optimization of cognitive radio system using simulated annealing. Wireless Personal Communications,71(2), 1283–1296.CrossRefGoogle Scholar
  3. 3.
    Zhao, N., Li, S., & Wu, Z. (2012). Cognitive radio engine design based on ant colony optimization. Wireless Personal Communications,65(1), 15–24.CrossRefGoogle Scholar
  4. 4.
    Awasthi, M., Kumar, V., & Nigam, M. J. (2017). Energy—efficiency techniques in cooperative spectrum sensing: A survey. Proceedings of IEEE Computational Intelligence and Communication Technology (CICT). Scholar
  5. 5.
    Lundén, J., Koivunen, V., & Poor, H. (2015). Spectrum exploration & exploitation for cognitive radio [Recent advances]. IEEE Signal Processing Magazines. Scholar
  6. 6.
    Sharma, S. K., Bogale, T. E., Chatzinotas, S., Ottersten, B., et al. (2015). Cognitive radio techniques under practical imperfections: A survey. IEEE Communication Surveys & Tutorials,17(4), 1858–1884.CrossRefGoogle Scholar
  7. 7.
    Haykin, S. (2005). Cognitive radio: Brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications,23(2), 201–220.CrossRefGoogle Scholar
  8. 8.
    Lu, L., Zhou, X., Onunkwo, U., & Li, G. Y. (2012). Ten years of research in spectrum sensing and sharing in cognitive radio. EURASIP Journals on Wireless Communication and Networking,28, 1–16.Google Scholar
  9. 9.
    Wu, Y., & Tsang, D. H. K. (2011). Energy-efficient spectrum sensing and transmission for cognitive radio system. IEEE Communication Letters,15(5), 545–547.CrossRefGoogle Scholar
  10. 10.
    Shi, Z., Teh, K. C., & Li, K. H. (2013). Energy-efficient joint design of sensing and transmission durations for protection of primary user in cognitive radio systems. IEEE Communication Letters,17(3), 565–568.CrossRefGoogle Scholar
  11. 11.
    Awasthi, M., Nigam, M. J., & Kumar, V. (2017). Energy efficient hard decision fusion rules for fading and non-fading environment. In proceedings of the 2017 IEEE Region 10 Conference (TENCON), Malaysia, 2056-2060.
  12. 12.
    Monemian, M., Mahdavi, M., & Omidi, M. J. (2016). Optimum sensor selection based on energy constraints in cooperative spectrum sensing for cognitive radio networks. IEEE Sensors Journal,16(6), 1829–1841.CrossRefGoogle Scholar
  13. 13.
    Awin, F. A., Abdel-Raheem, E., & Ahmadi, M. (2017). Joint optimal transmission power and sensing time for energy efficient spectrum sensing in cognitive radio networks. IEEE Sensors Journal,17(2), 369–376.CrossRefGoogle Scholar
  14. 14.
    Ergul, O., & Akan, O. B. (2013). Energy-efficient cooperative spectrum sensing for cognitive radio sensor networks. In IEEE symposium of computer and communication (ISCC) (pp. 465–469).Google Scholar
  15. 15.
    Peh, E. C. Y., Liang, Y. C., Guan, Y. L., & Pei, Y. (2011). Energy-efficient cooperative spectrum sensing in cognitive radio networks. In IEEE global telecommunications conference (GLOBECOM 2011), IEEE.Google Scholar
  16. 16.
    Wang, Y., Xu, W., Yang, K., & Lin, J. (2012). Optimal energy-efficient power allocation for OFDM-based cognitive radio networks. IEEE Communication Letters,16(9), 1420–1423.CrossRefGoogle Scholar
  17. 17.
    Haddad, M., Hayel, Y., & Habachi, O. (2015). Spectrum coordination in energy-efficient cognitive radio networks. IEEE Transaction on Vehicular Technology,64(5), 2112–2122.CrossRefGoogle Scholar
  18. 18.
    Awin, F. A., Abdel-Raheem, E., & Ahmadi, M. (2016). Designing an optimal energy efficient cluster-based spectrum sensing for cognitive radio networks. IEEE Communications Letters,20(9), 1884–1887.CrossRefGoogle Scholar
  19. 19.
    Hojjati, S. H., Ebrahimzadeh, A., Najimi, M., & Reihanian, A. (2016). Sensor selection for cooperative spectrum sensing in multi antenna sensor networks based on convex optimization and genetic algorithm. IEEE Sensors Journal,16(10), 3486–3487.CrossRefGoogle Scholar
  20. 20.
    Li, L., Zhou, X., Xu, H., Li, Y., et al. (2011). Energy-efficient transmission in cognitive radio networks. IEEE Transactions on Broadcasting,57(3), 718–720.CrossRefGoogle Scholar
  21. 21.
    Zarrin, S., & Teng, J. L. (2011). Throughput-sensing trade off of cognitive radio networks based on quickest sensing. In Proceedings of IEEE international conference on communications (pp. 1–5).Google Scholar
  22. 22.
    Pei, Y., Liang, Y. C., Teh, K. C., & Li, K. H. (2011). Energy-efficient design of sequential channel sensing in cognitive radio networks: Optimal sensing strategy, power allocation, and sensing order. IEEE Journal on Selected Areas in Communication,29(8), 1648–1659.CrossRefGoogle Scholar
  23. 23.
    Awasthi, M., Nigam, M. J., & Kumar, V. (2019). Optimal sensing, fusion and transmission with primary user protection for energy-efficient cooperative spectrum sensing in CRNs. International Journal of Electronics and Communication (AEU),98(2019), 95–105.CrossRefGoogle Scholar

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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.E&CE DepartmentAKGECGhaziabadIndia
  2. 2.E&CE DepartmentJUITWaknaghatIndia
  3. 3.E&CE DepartmentIITRoorkeeIndia

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