Skip to main content

Advertisement

Log in

Frequency Reconfigurable Antennas Design for Cognitive Radio Applications with Different Number of Sub-bands Based on Genetic Algorithm

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

This paper proposes frequency reconfigurable antennas using genetic algorithm, suitable for cognitive radio applications. The optimization is applied to find the slot shape and the switches locations in the ground plane of monopole antennas for adjustment of the bandwidth. We introduce a new cost function appropriate for designing antennas for cognitive radio applications. In the first design, the presented antenna can operate in the band of 1.9–3.8 GHz and two sub-bands 1.8–2.78 and 2.78–3.8 GHz using the possible minimum number of switches. In the second design, the proposed antenna works in a wide operating band of 1.85–4 GHz and three different sub-bands 1.72–2.27, 2.27–2.9 and 2.9–3.75 GHz. The proposed antenna with three modes of operation is fabricated and the comparison of the simulated and measured results shows a good agreement.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  1. Tawk, Y., Costantine, J., & Christodoulou, C. G. (2014). Cognitive-radio and antenna functionalities: A tutorial. IEEE Antennas and Propagation Magazine, 56(1), 231–243.

    Article  Google Scholar 

  2. Hussain, R., & Sharawi, M. S. (2015). A cognitive radio reconfigurable MIMO and sensing antenna system. IEEE Antennas and Wireless Propagation Letters, 14, 257–260.

    Article  Google Scholar 

  3. Pazin, L., & Leviatan, Y. (2013). Reconfigurable slot antenna for switchable multiband operation in a wide frequency range. IEEE Antennas and Wireless Propagation Letters, 12, 329–332.

    Article  Google Scholar 

  4. Cai, Y., JayGuo, Y., & Bird, T. S. (2012). A frequency reconfigurable printed Yagi–Uda dipole antenna for cognitive radio applications. IEEE Transactions on Antennas and Propagation, 60(6), 2905–2912.

    Article  Google Scholar 

  5. Ge, L., Li, M., Wang, J., & Gu, H. (2017). Unidirectional dual-band stacked patch antenna with independent frequency reconfiguration. IEEE Antennas and Wireless Propagation Letters, 16, 113–116.

    Article  Google Scholar 

  6. Hussain, R., & Sharawi, M. S. (2016). Planar meandered-F-shaped 4-element reconfigurable multiple-input-multiple-output antenna system with isolation enhancement for cognitive radio platforms. IET Microwave, Antennas & Propagation, 10(1), 45–52.

    Article  Google Scholar 

  7. Rajagopalan, H., Kovitz, J. M., & Rahmat-Samii, Y. (2014). MEMS reconfigurable optimized E-shaped patch antenna design for cognitive radio. IEEE Transactions on Antennas and Propagation, 62(3), 1056–1064.

    Article  Google Scholar 

  8. Tawk, Y., & Christodoulou, C. G. (2009). A new reconfigurable antenna design for cognitive radio. IEEE Antennas and Wireless Propagation Letters, 8, 1378–1381.

    Article  Google Scholar 

  9. Joseph, S. D., Manoj, S., Waghmare, C., Nandakumar, K., & Kothari, A. (2017). UWB sensing antenna, reconfigurable transceiver and reconfigurable antenna based cognitive radio test bed. Wireless Personal Communications, 96(3), 3435–3462.

    Article  Google Scholar 

  10. Jin, G., Liao, H., & Liu, D. (2016). A dual-port frequency reconfigurable antenna for cognitive radio applications. In IEEE International Conference on Computational Electromagnetics. Guangzhou, China, pp. 292–294.

  11. Ge, L., & Luk, K. M. (2016). Band-reconfigurable unidirectional antenna: a simple, efficient magneto-electric antenna for cognitive radio applications. IEEE Antennas and Propagation Magazine, 58(2), 18–27.

    Article  Google Scholar 

  12. Mansoul, A., Ghanem, F., Hamid, M. R., & Trabelsi, M. (2014). A selective frequency reconfigurable antenna for cognitive radio applications. IEEE Antennas and Wireless Propagation Letters, 13, 515–518.

    Article  Google Scholar 

  13. Quijano, J. L. A., & Vecchi, G. (2009). Optimization of an innovative type of compact frequency reconfigurable antenna. IEEE Transactions on Antennas and Propagation, 57(1), 9–18.

    Article  Google Scholar 

  14. Song, S., & Murch, R. A. (2014). An efficient approach for optimizing frequency reconfigurable pixel antennas using genetic algorithms. IEEE Transactions on Antennas and Propagation, 62(2), 609–620.

    Article  Google Scholar 

  15. Karoui, M. S., Ghariani, H., Samet, M., Ramdani, M., & Perdriau, R. (2010). Bandwidth enhancement of the square/rectangular patch antenna for biotelemetry applications. International Journal of Information Systems and Telecommunication Engineering, 1, 12–18.

    Google Scholar 

  16. ‘High Frequency Structure Simulator (HFSS) Ver. 15’. http://www.ansys.com.

  17. Deb, A., Roy, J. S., & Gupta, B. (2014). Performance comparison of differential evolution, particle swarm optimization and genetic algorithm in the design of circularly polarized microstrip antennas. IEEE Transactions on Antennas and Propagation, 62(8), 3920–3939.

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shahrokh Jam.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zadehparizi, F., Jam, S. Frequency Reconfigurable Antennas Design for Cognitive Radio Applications with Different Number of Sub-bands Based on Genetic Algorithm. Wireless Pers Commun 98, 3431–3441 (2018). https://doi.org/10.1007/s11277-017-5022-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-017-5022-5

Keywords

Navigation