Springer Nature is making Coronavirus research free. View research | View latest news | Sign up for updates

Interference cancellation in cognitive radio-based MC-CDMA system using pre-coding technique

  • 74 Accesses


In this article, the authors investigate error rate (ER) analysis of multi-carrier code-division multiple access (MC-CDMA) for cognitive radio network (CRN) using the pre-coding technique. CRN is a type of frequency-sensitive device in wireless communication which can intellect the idle spectrum availability and assign the spectrum dynamically for mobile communication. The spectrum is subdivided and its sub-band frequency of CRN is used for implementing multi-carrier (MC) communication and generating the spread of code frequency generation. In this work, pre-processing technique using singular value decomposition is considered for alleviation of the effects of interferences arising from secondary users to ensure a reliable link between the base station and the active users. The null space of channel matrix of active interference primary users has been exploited for the formulation of pre-processing matrix. A time–frequency domain signature sequence has been constructed to suppress the adverse effects of adjacent cell interference (ACI) and secondary multi-user interferences (S-MUI). Further, iterative decoder has been implemented for the achievement of better coding gain when the primary users’ signals are contaminated by noise. Simulation ER results of CR MC-CDMA with pre-coding technique for Stanford University Interim and Long-term Evolution channels specification has been presented. It is discerned from ER results that coded CR MC-CDMA system established with pre-processing matrix offers robust performance through vindication of ACI and S-MUI effects while retaining a low complexity of primary mobile station for downlink transmission. Additionally, CRN-based MC-CDMA system has been analysed and found to provide an efficient and flexible solution to fulfil the demands of spectrum utilization.

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

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6


  1. 1.

    Sridharan B, Ravi A, Haribhaskaran AS, Nagaradjane P (2014) Cooperative downlink MC-CDMA System aided by transmitter preprocessing: performance results. In: 21st International Conference on Telecommunications, pp 145–149

  2. 2.

    Karthipan R, Vishvaksenan KS, Kalidoss R, Krishan A (2016) Performance of turbo coded triply-polarized MIMO-CDMA system for downlink communication. J Comput Electr Eng 56:182–192

  3. 3.

    Kondo S, Milstein LB (1996) Performance of multicarrier DS CDMA systems. IEEE Trans Commun 44(2):238–246

  4. 4.

    Zhang R, Hanzo L (2007) Iteratively detected multi-carrier interleave division multiple access. In: International Conference MICROC0LL’07, BUDAPEST, Hungary

  5. 5.

    Nagaradjane P, Ravichandran S, Srinivasan N, Ravichandran S, Damodaran SP (2013) Cooperative communication-aided multi-carrier code division multiple access downlink transmission with transmitter preprocessing: performance results. IET Commun 2013(7):1915–1924

  6. 6.

    Partibane B, Nagarajan V, Vishvaksenan KS, Kalidoss R (2015) Performance of multi-user transmitter pre-processing assisted multi-cell IDMA system for downlink transmission. Fluct Noise Lett.

  7. 7.

    Yang LL (2008) A zero-forcing multiuser transmitter preprocessing scheme for downlink communications. IEEE Trans Commun 56:862–865

  8. 8.

    Rajmohan R, Vishvaksenan KS, Mira M, Subramanian S (2016) Performance of a turbo-coded downlink IDMA system using transmitter pre-processing. Comput Electr Eng 53:385–393

  9. 9.

    Kim S, Sung W (2014) Operational algorithm for wireless communication systems using cognitive radio. In: 2014 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)

  10. 10.

    Xiao J, Ye F, Tian T, Hu RQ (2011) CR enabled TD-LTE within TV white space: system level performance analysis. In: IEEE Global Telecommunications Conference, pp 1–6

  11. 11.

    Shahrokhand H, Mohamed-Pour K (2009) A new structure for NC-MC-CDMA in cognitive radio networks. In: 9th International Symposium on Communications and Information Technology, pp 653–657

  12. 12.

    Attar A, Nakhai MR, Aghvami AH (2008) Cognitive radio transmission based on direct sequence MC-CDMA. IEEE Trans Wirel Commun 7(4):1157–1162

  13. 13.

    Jasbi F, So DKC (2016) Hybrid overlay/underlay cognitive radio network with MC-CDMA. IEEE Trans Veh Technol 65(4):2038–2047

  14. 14.

    Jasbi F, So DKC, Alsusa E (2013) Hybrid overlay/underlay MC-CDMA for cognitive radio networks with mmse channel equalization. In: IEEE Global Communications Conference (GLOBECOM), pp 1056–1061

  15. 15.

    Tadrous J, Sultan A, Nafie M (2011) Admission and power control for spectrum sharing cognitive radio networks. IEEE Trans Wirel Commun 10(6):1945–1955

  16. 16.

    Kabir MA, Kaiser MS (2015) Outage capacity analysis of MC-CDMA based on cognitive radio network. In: 2nd International Conference on Electrical Engineering and Information and Communication Technology (ICEEICT)

  17. 17.

    Rajabzadeh M, Khoshbin H (2010) Receiver design for downlink MIMO MC-CDMA in cognitive radio systems. In: 21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, pp 786–790

  18. 18.

    Zhou R, Li X, Chakravarthy V, Wu Z (2011) Software defined radio implementation of SMSE based overlay cognitive radio in high mobility environment. In: IEEE Global Telecommunications Conference—GLOBECOM 2011, pp 1–5

  19. 19.

    Forney G (1966) Concatenated codes. MIT Press, Cambridge

  20. 20.

    Berrou C, Glavieux A, Thitimajshima P (1993) Near Shannon limit error correcting coding and decoding: turbo codes. In: Proceedings of IEEE ICC, pp 1064–1070

  21. 21.

    Le Goff S, Glavieux A, Berrou C (1994) Turbo-codes and high spectral efficiency modulation. In: Proceedings of the IEEE International Conference on Commununication, New Orleans, LA, pp 645–649

  22. 22.

    Benedetto S, Divsalar D, Montorsi G, Pollara F (1995) Bandwidth efficient parallel concatenated coding schemes. Electron Lett 31(24):2067–2069

  23. 23.

    Robertson P, Worz T (1995) Coded modulation scheme employing turbo codes. Electron Lett 31(18):1546–1547

  24. 24.

    Benedetto S, Divsalar D, Montorsi G, Pollara F (1997) Serial concatenated trellis coded modulation with iterative decoding. In: IEEE International Symposium on Information Theory, Ulm, Germany

  25. 25.

    Maucher J, Furrer J (2007) Heise, IEEE Std. 2007. IEEE standard for WIMAX 802.16, Hannover

  26. 26.

    3GPPP (TR 30.803) (2007) Evolved universal terrestrial radio access (E-UTRA); user equipment (UE) radio transmission and reception (Release 8). Technical specification, Sophia Antipolis, France

  27. 27.

    Mithra K, Vishvaksenan KS (2017) Performance of coded STBC-IDMA system using polarization diversity for downlink transmission. Clust Comput 20(2):1615–1623

Download references

Author information

Correspondence to R. Dhilip Kumar.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Kumar, R.D., Vishvaksenan, K.S. Interference cancellation in cognitive radio-based MC-CDMA system using pre-coding technique. J Supercomput 76, 1–15 (2020).

Download citation


  • Code-division multiple access (CDMA)
  • Channel encoder
  • Minimum mean square error (MMSE)
  • Orthogonal frequency-division multiplexing (OFDM)
  • Transmitter pre-coding (TP)
  • Vector quantization (VQ)
  • Zero-forcing (ZF)