Skip to main content
SpringerLink
Log in

Improved algorithms for interference suppression in non-contiguous orthogonal frequency division multiplexing-based cognitive radio systems

  • Original Article
  • Published:
Neural Computing and Applications Aims and scope Submit manuscript

Abstract

Non-contiguous orthogonal frequency division multiplexing is considered as an auspicious scheme for the cognitive radio (CR) systems. It has the abilities such as spectral efficiency, multiple path delay spread and robustness against channel fading. However, due to its high sidelobes, it distorts the signals of the neighboring users including cognitive radio users (CRUs) as well as licensed users. In this paper, we proposed two novel metaheuristic algorithms, i.e., Cuckoo search algorithm and Firefly algorithm, to estimate the amplitudes of cancelation carriers which are used for the suppression of sidelobes. The effectiveness of the proposed algorithms is shown in single as well as the multiple CRUs environment. Simulations results in terms of power spectral density show that with the help of proposed algorithms significant reduction in sidelobes is achieved as compared with the existing methods.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16

Similar content being viewed by others

References

  1. Mitola J III, Maguire GQ Jr (1999) Cognitive radio: making software radios more personal. Pers Commun IEEE 6(4):13–18

    Article  Google Scholar 

  2. Proakis JG, Salehi M (2008) Salehi digital communications. McGraw-Hill, New York

    Google Scholar 

  3. Goldsmith A (2005) Wireless communications. Cambridge University Press, Cambridge

    Book  Google Scholar 

  4. El-Saadany MS, Shalash AF, Abdallah M (2009) Revisiting active cancellation carriers for shaping the spectrum of OFDM-based cognitive radios. In: Sarnoff symposium, 2009. SARNOFF’09. IEEE, pp 1–5

  5. Sahin A, Arslan H (2011) Edge windowing for OFDM based systems. Commun Lett IEEE 15(11):1208–1211

    Article  Google Scholar 

  6. Noguet D, Gautier M, Berg V (2011) Advances in opportunistic radio technologies for TVWS. EURASIP J Wirel Commun Netw 2011(1):1–12

    Article  Google Scholar 

  7. Brandes S, Cosovic I, Schnell M (2005) Sidelobe suppression in OFDM systems by insertion of cancellation carriers. In: Vehicular technology conference, 2005. VTC-2005-Fall. 2005 IEEE 62nd, vol 1, pp 152–156

  8. Pagadarai S, Wyglinski AM, Rajbanshi R (2008) A sub-optimal sidelobe suppression technique for OFDM-based cognitive radios. In: Military communications conference, 2008. MILCOM 2008. IEEE, pp 1–6

  9. Lopes FRB, Panaro JSG (2013) OFDM sidelobe suppression combining active and null cancellation carriers in the guard bands. In: Microwave and optoelectronics conference (IMOC), 2013 SBMO/IEEE MTT-S International, pp 1–5

  10. Elahi A, Qureshi IM, Zaman F, Munir F (2016) Reduction of out of band radiation in non-contiguous OFDM based cognitive radio system using heuristic techniques. J Inf Sci Eng 32(2):349–364

    Google Scholar 

  11. Cosovic I, Brandes S, Schnell M (2006) Subcarrier weighting: a method for sidelobe suppression in OFDM systems. Commun Lett IEEE 10(6):444–446

    Article  Google Scholar 

  12. Selim A, Macaluso I, Doyle L (2013) Efficient sidelobe suppression for OFDM systems using advanced cancellation carriers. In: 2013 IEEE international conference on communications (ICC), pp 4687–4692

  13. Selim A, Doyle L (2013) Real-time sidelobe suppression for OFDM systems using advanced subcarrier weighting. In: Wireless communications and networking conference (WCNC), 2013 IEEE, pp 4043–4047

  14. Pagadarai S, Rajbanshi R, Wyglinski AM, Minden GJ (2008) Sidelobe suppression for OFDM-based cognitive radios using constellation expansion. In: Wireless communications and networking conference, 2008. WCNC 2008. IEEE, pp 888–893

  15. Li D, Dai X, Zhang H (2009) Sidelobe suppression in NC-OFDM systems using constellation adjustment. Commun Lett IEEE 13(5):327–329

    Article  Google Scholar 

  16. Cosovic I, Mazzoni T (2006) Suppression of sidelobes in OFDM systems by multiple-choice sequences. Eur Trans Telecommun 17(6):623–630

    Article  Google Scholar 

  17. Arqub OA, Al-Smadi M, Momani S, Hayat T (2017) Application of reproducing kernel algorithm for solving second-order, two-point fuzzy boundary value problems. Soft Comput 21(23):7191–7206

    Article  MATH  Google Scholar 

  18. Arqub OA (2017) Adaptation of reproducing kernel algorithm for solving fuzzy Fredholm–Volterra integrodifferential equations. Neural Comput Appl 28(7):1591–1610

    Article  Google Scholar 

  19. Arqub OA, Abo-Hammour Z (2014) Numerical solution of systems of second-order boundary value problems using continuous genetic algorithm. Inf Sci (NY) 279:396–415

    Article  MathSciNet  MATH  Google Scholar 

  20. Goldberg DE (1993) Genetic algorithms in search optimization and machine learning. Addison Wesley, Reading

    Google Scholar 

  21. Roberge V, Tarbouchi M, Labonté G (2013) Comparison of parallel genetic algorithm and particle swarm optimization for real-time UAV path planning. IEEE Trans Ind Inform 9(1):132–141

    Article  Google Scholar 

  22. Tosun Ö (2014) Cuckoo search algorithm. In: Encyclopedia of business analytics and optimization. IGI Global, pp 558–564

  23. Payne RB, Sorenson MD, Klitz K (2005) The cuckoos, vol. 15. Oxford University Press, Oxford

    Google Scholar 

  24. Gandomi AH, Yang X-S, Talatahari S, Alavi AH (2013) Firefly algorithm with chaos. Commun Nonlinear Sci Numer Simul 18(1):89–98

    Article  MathSciNet  MATH  Google Scholar 

  25. Fister I, Yang X-S, Brest J (2013) A comprehensive review of firefly algorithms. Swarm Evol Comput 13:34–46

    Article  Google Scholar 

  26. Storn R, Price K (1997) Differential evolution—a simple and efficient heuristic for global optimization over continuous spaces. J Glob Optim 11(4):341–359

    Article  MathSciNet  MATH  Google Scholar 

  27. Price K, Storn RM, Lampinen JA (2006) Differential evolution: a practical approach to global optimization. Springer, New York

    MATH  Google Scholar 

  28. Gandomi AH, Yang X-S, Alavi AH (2013) Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems. Eng Comput 29(1):17–35

    Article  Google Scholar 

  29. Yang X-S (2010) Firefly algorithm, stochastic test functions and design optimisation. Int J Bio Inspired Comput 2(2):78–84

    Article  Google Scholar 

  30. Yang X-S (2010) Firefly algorithm, Levy flights and global optimization. In: Research and development in intelligent systems XXVI. Springer, pp 209–218

Download references

Author information

Authors and Affiliations

  1. Department of Electrical Engineering, International Islamic University, Islamabad, 44000, Pakistan

    Atif Elahi & Noor Gul

  2. Department of Electrical Engineering, Air University, Islamabad, 44000, Pakistan

    Ijaz Mansoor Qureshi

  3. Department of Electronic Engineering, Isra University, Islamabad, 44000, Pakistan

    Shafqat Ullah Khan

  4. Department of Electrical Engineering, COMSATS Institute of Information Technology, Attock Campus, Attock, 43600, Pakistan

    Fawad Zaman

Authors
  1. Atif Elahi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ijaz Mansoor Qureshi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Shafqat Ullah Khan
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Fawad Zaman
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Noor Gul
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Atif Elahi.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Elahi, A., Qureshi, I.M., Khan, S.U. et al. Improved algorithms for interference suppression in non-contiguous orthogonal frequency division multiplexing-based cognitive radio systems. Neural Comput & Applic 31, 3729–3741 (2019). https://doi.org/10.1007/s00521-017-3310-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00521-017-3310-3

Keywords

Search

Navigation