Error probability performance analysis for multicarrier direct sequence code division multiple access multiple-input–multiple-output systems over correlated η–µ fading channels

Error probability performance analysis for multicarrier direct sequence code division multiple access multiple-input–multiple-output systems over correlated η–µ fading channels

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The authors investigate the performance of multiple-input–multiple-output multicarrier direct sequence code division multiple access system operating over arbitrarily and equally correlated η–µ fading channels in terms of average bit error probability and average symbol error probability. Closed form expressions for average error probability using moment generating function-based approach are derived and expressed in terms of Lauricella's multivariate hypergeometric functions. Furthermore, based on numerical results, they observe that the performance of the system improves when the number of multipath clusters increases as well as the number of subcarriers (frequency diversity). Similarly, substantial enhancement in system performance is observed due to the effect of spatial diversity. Finally, they verify the results via Monte Carlo simulation-based method to support the accuracy of the analytical approach and also compare with already published ones.


    1. 1)
      • 1. Yang, L.L.: ‘Multicarrier communications’ (John Wiley & Sons, 2009).
    2. 2)
    3. 3)
    4. 4)
    5. 5)
    6. 6)
      • 6. Yao, G.X., Liu, Z.W., Xu, Y.G., Gong, X.F.: ‘Antenna selection in space time block coded MC CDMA systems’. Proc. Int. Conf. on Signal Processing, 2006, pp. 1620.
    7. 7)
    8. 8)
      • 8. Elnoubi, S.M., Hashem, A.A.: ‘Error rate performance of MC DS CDMA systems over multiple input multiple output Nakagami-m fading channel’. Proc. Military Commun. Conf., San Diego, CA, 2008.
    9. 9)
    10. 10)
    11. 11)
      • 11. Shaban, H., El-Nasr, M.A., Buehre, R.M.: ‘BER Performance of MRC/MC-CDMA systems for MSK scheme in independent and correlated Nakagami-m and Rician fading channels’. IEEE Int. Symp. on Proc. Signal Processing and Information Technology, 2009, 14–17 December 2009, pp. 1519.
    12. 12)
    13. 13)
    14. 14)
    15. 15)
    16. 16)
    17. 17)
    18. 18)
    19. 19)
    20. 20)
      • 20. Proakis, J.G.: ‘Digital communications’ (McGraw-Hill, New York, 2001, 4th edn.).
    21. 21)
      • 21. Craig, J.W.: ‘A new, simple and exact results for calculating the probability of error for two dimensional signal constellations’. Proc. IEEE Military Commun. Conf. Mclean, VA, October 1991, pp. 571575.
    22. 22)
    23. 23)
      • 23. Xu, F., Yue, D.-W., Zhou, Q.F.: ‘Performance analysis of orthogonal space-time block codes over nakagami-q (Hoyt) fading channels’. Proc. IEEE Int. Conf. on Commun., May 2008, pp. 39663970.
    24. 24)
    25. 25)
    26. 26)
    27. 27)
    28. 28)
    29. 29)
      • 29. Miller, S.L., Childers, D.G.: ‘Probability and random processes’ (Academic Press, 2012, 2nd edn.).
    30. 30)
      • 30. Pierce, J.N., Stein, S.: ‘Multiple diversity with nonindependent fading’. Proc. Proc. of the IRE, January 1960, pp. 89104.
    31. 31)

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