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Wireless Personal Communications

, Volume 108, Issue 4, pp 2449–2460 | Cite as

A Novel Detected Peak Samples Combining Technique for PAPR Minimization of MC-CDMA Signal

  • Anil Kumar KhatriEmail author
  • Lokesh Tharani
Article
  • 13 Downloads

Abstract

A new signal scrambling technique is proposed to minimize the peak to average power ratio (PAPR) of multi carrier code division multiple access (MC-CDMA) signal using novel detected peak samples combining technique. This new approach minimizes PAPR by combing the MC-CDMA symbol with a number of copies of the detected peak sample which belong to the same MC-CDMA symbol. The analytical and simulation results show that by the right selection of the number of peak samples; the PAPR for 64 subcarrier system reduces by 4.9 dB at the complementary cumulative distribution function = 10−3. The PAPR can be further reduced by increasing the number of peak samples but it could compromise the data speed. The implementation of this technique is very simple when compared to the existing techniques like selective mapping, partial transmit sequence and tone reservation as it requires lesser number of Inverse Fast Fourier Transform/Fast Fourier Transform blocks, no side information and low processing delay.

Keywords

Detected peak samples combining (DPSC) Peak to average power ratio (PAPR) Orthogonal frequency division multiplexing (OFDM) Multi carrier code division multiple access (MC-CDMA) Complementary cumulative distribution function (CCDF) Selective mapping (SLM) Partial transmit sequence (PTS) 

Notes

References

  1. 1.
    Hara, S., & Prasad, R. (1997). Overview of multi-carrier CDMA. In Proceedings of IEEE 4th communication magazine (Vol. 35, pp. 126–133).Google Scholar
  2. 2.
    Abdullah, M. F. L., Ghanim, M. F., & Yonis, A. Z. (2013). Effect of FFT size on PAPR of MC-CDMA system. In 9th IEEE international colloquium on signal processing and its application (pp. 182–187). Kuala Lumpur, Malaysia.Google Scholar
  3. 3.
    You, Y.-H., Jung, H.-K., & Jeon, W.-G. (2004). A simple peak-to-average power ratio (PAR) reduction scheme for OFDM-CDMA signals. International Journal of Electronics and Communications (AEÜ), 58(2), 142–146.CrossRefGoogle Scholar
  4. 4.
    Bauml, R. W., Fischer, R. F. H., & Huber, J. B. (1996). Reducing the Peak-to-Average power ratio of multicarrier modulation by selected mapping. IEEE Electronic Letters, 32(2), 2056–2057.CrossRefGoogle Scholar
  5. 5.
    Sudha, V., Anilkumar, B., & Sriramkumar, D. (2015). Low-complexity modified SLM method for PAPR reduction in OFDM system. In IEEE sponsored 2nd international conference on electronics and communication system ICECS (pp. 1324–1328).Google Scholar
  6. 6.
    Ryu, H. G., & Youn, K.-J. (2002). A new PAPR reduction scheme SPW. IEEE Transaction on Consumer Electronics, 48(1), 81–88.CrossRefGoogle Scholar
  7. 7.
    Hieu, N. T., Kiom, S.-W., & Ryu, H.-G. (2005). PAPR reduction of low complexity phase weighting method in OFDM communication system. IEEE Transaction on Consumer Electronics, 51(3), 776–782.CrossRefGoogle Scholar
  8. 8.
    Yoga, S. W., Suryani, T., & Suwadi. (2016). Application PTS technique for PAPR reduction in MIMO OFDM using WARP. In IEEE international seminar on intelligent technology and application (pp. 317–322).Google Scholar
  9. 9.
    Dhungana, H., Sah, S. K., & Shakya, S. (2012). Performance evaluation of PAPR reduction in multicarrier system by PTS and SLM methods. In IEEE third Asian Himalayas international conference on internet (pp. 1–5).Google Scholar
  10. 10.
    Khatri, A. K., & Tharani, L. (2015). An approach to compare the developments in performance of Multicarrier CDMA system. In IEEE international conference ICCCA 2015 (pp. 1226–1231).Google Scholar
  11. 11.
    Namitha, A. S., & Sameer, S. M. (2015). A novel joint method for frequency offset estimation and Peak-to-Average Power Ratio Reduction in OFDM system using Null subcarriers. Wireless Personal Communication.  https://doi.org/10.1007/s11277-015-2396-0.CrossRefGoogle Scholar
  12. 12.
    Yang, L., Siu, Y. M., Soo, K. K., Leung, S. W., & Li, S. Q. (2012). Low-complexity PAPR reduction technique for OFDM system using modified widely linear SLM scheme. International Journal of Electronics and Communications (AEÜ), 66, 1006–1010.CrossRefGoogle Scholar
  13. 13.
    Adegbite, S. A., McMeekin, S. G., & Stewart, B. G. (2016). A low complexity SI sequence estimator for pilot-aided SLM-OFDM systems. International Journal of Electronics and Communications (AEÜ), 70(9), 1267–1274.CrossRefGoogle Scholar
  14. 14.
    Fallahzedeh, M., & Ferdosizadeh, M. (2017). Blind SLM for PAPR reduction of Alamouti DSFBC systems. IET Communications Journals, 11(3), 451–457.CrossRefGoogle Scholar
  15. 15.
    Yang, L., Chen, R. S., Soo, K. K, & Siu, Y. M. (2007). An efficient sphere decoding approach for PTS assisted PAPR reduction of OFDM signals. International Journal of Electronics and Communications (AEÜ), 61(10), 684–688.CrossRefGoogle Scholar
  16. 16.
    Sampath Kumar, C., & Hari Krishna Prasad, P. (2016). APPR combined PTS Technique for reduction of PAPR in OFDM system. In IEEE international conference on advanced communication control and computing technologies (ICACCCT) (pp. 158–161).Google Scholar
  17. 17.
    Feng, Z., Liu, W., Tao, X. & Zhang, J. (2011). PAPR reduction of OFDM using novel concatenated PS-PTS method. In IEEE 7th international conference on wireless communications, networking and mobile computing (pp. 1–4).Google Scholar
  18. 18.
    Muller, S. H., & Huber, J. B. (1997). A novel peak power reduction scheme for OFDM. In 8th IEEE international symposium on personal, indoor and mobile radio communication. Google Scholar
  19. 19.
    Krongold, B. S., & Jones D. L. (2003). PAR reduction in OFDM via active constellation extension. IEEE Transactions on Broadcasting, 49, 258–268.CrossRefGoogle Scholar
  20. 20.
    Vallavaraj, A., Stewart, B. G., & Harrison, D. K. (2010). An evaluation of modified µ-law companding to reduce the PAPR of OFDM system. International Journal of Electronics and Communications (AEÜ), 64, 844–857.CrossRefGoogle Scholar
  21. 21.
    Wang, Y., Ge, J., Wang, L., & Lee, J. (2013). Reduction of PAPR of OFDM signals using nonlinear companding transform. Wireless Personal Communication, 71(1), 383–397.CrossRefGoogle Scholar
  22. 22.
    Li, X., & Cimini, L. J. (1998). Effect of clipping and filtering on the performance of OFDM. IEEE Communication Letters, 2(5), 131–133.CrossRefGoogle Scholar
  23. 23.
    Hemmati, R. A., Azmi, P., & Marvasti, F. (2010). Joint multi-user interference and clipping noise cancellation in uplink MC-CDMA system Ratio. International Journal of Electronics and Communications (AEÜ), 64, 425–432.CrossRefGoogle Scholar
  24. 24.
    Hu, W.-W. (2016). PAPR Reduction for Pilot-aided OFDM systems with the parametric minimum cross-entropy method. International Journal of Electronics and Communications (AEÜ), 70, 367–371.CrossRefGoogle Scholar
  25. 25.
    Xia, J., Li, Y., & Zhang, Z. (2013). A suboptimal TR algorithm with fixed phase rotation for PAPR reduction in MC-CDMA system. In IET International Conference on Information and Communication Technologies (IETICT2013) (pp. 415–420).Google Scholar

Copyright information

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

Authors and Affiliations

  1. 1.Department of Electronics and Communication, University College of EngineeringRajasthan Technical UniversityKotaIndia

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