M-ARY PSK Modulation Technique for IDMA Scheme

  • Pratibha Verma
  • Sanjiv Mishra
  • M. Shukla
  • Ashutosh Singh
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 243)

Abstract

There are a number of factors that enter into the choice of a modulation scheme for use in a wireless application. Performance of a cellular system is dependent on the efficiency of the modulation scheme in use. The performance of M-ary PSK modulations scheme for IDMA technique-based wireless communication system on data bits transmission over additive white Gaussian noise (AWGN) channel are analyzed in terms of bit error probability (BER) as a function of SNR. Based on the results obtained in this study, MPSK are showing better performance for lower modulation order whereas these are inferior with higher M. It will use MatLab 7.9 for simulation and evaluation of BER for IDMA system models, so that the system can go for more suitable phase shift keying (PSK) modulation technique to suit the channel quality. Thus, it can deliver the optimum and efficient data rate to mobile terminal.

Keywords

IDMA systems BPSK QPSK BER Random interleaver 

References

  1. 1.
    Haykin, S.: Digital communication. TMH Publication, Noida (2006)Google Scholar
  2. 2.
    Chie, C.M.: Bound and approximations for rapid evaluation of coherent MPSK error probabilities. IEEE Trans.Com. 3, 271–273 (1985)Google Scholar
  3. 3.
    Shukla, M., Srivastava, V.K., Tiwari, S.: Analysis and design of tree based interleaver for multiuser receivers in IDMA scheme. In: Proceedings of 16th IEEE International Conference on Networks ICON 2008, Delhi, India, pp. 1–4, 13–14 Dec 2008Google Scholar
  4. 4.
    Ma, X., Ping, L.: Coded modulation using superimposed binary codes. IEEE Trans. Inform. Theory 50, 3331–3343 (2004)Google Scholar
  5. 5.
    Shukla, M., Srivastava, V.K., Tiwari, S.: Analysis and design of optimum interleaver for iterative receivers in IDMA scheme. Wiley J. Wireless Commun. Mobile Comput. 9(10), 1312–1317 (2009)CrossRefGoogle Scholar
  6. 6.
    Shukla, M., Srivastava, V.K., Tiwari, S.: Interleave division multiple access for wireless communication. In: Proceedings of International Conference on Next Generation Communication Systems: A Perspective, ICONGENCOM 06, J. K. Institute, Allahabad, India, pp. 150–154, 9–11 Dec 2006Google Scholar
  7. 7.
    Wang, X., Poor, H.V.: Iterative (turbo) soft interference cancellation and decoding for coded CDMA. IEEE Trans. Commun. 47, 1046–1061 (1999)CrossRefGoogle Scholar
  8. 8.
    Lu, J., Letaif, K.B., Chuang J.I., Liou, M.L.: M-PSK and M-QAM BER computation using signal- space concepts. IEEE Trans. Com. 47(2), 181–184 (1999)Google Scholar
  9. 9.
    Ping, L., Liu, L., Wu, K.Y., Leung, W.K.: A unified approach to multi-user detection and space time coding with low complexity and nearly optimal performance. In: Proceedings of 40th Allerton Conference, Allerton House, pp. 170–179, (2002) Google Scholar

Copyright information

© Springer India 2014

Authors and Affiliations

  • Pratibha Verma
    • 1
  • Sanjiv Mishra
    • 2
  • M. Shukla
    • 3
  • Ashutosh Singh
    • 4
  1. 1.Kanpur Institute of TechnologyKanpurIndia
  2. 2.Mewar UniversityChittorgarhIndia
  3. 3.Harcourt Butler Technolical InstituteKanpurIndia
  4. 4.Indian Institute of Information TechnologyAllahabadIndia

Personalised recommendations