Performance analysis of closed-loop pre-equalisation for multiuser multiple-input multiple-output with multicarrier code division multiple access systems

Performance analysis of closed-loop pre-equalisation for multiuser multiple-input multiple-output with multicarrier code division multiple access systems

For access to this article, please select a purchase option:

Buy article PDF
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Your details
Why are you recommending this title?
Select reason:
IET Communications — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

The use of multiple transmit and receive antennas is widely recognised as an effective technology to boost the capacity of wireless communication systems. Moreover, the combination of multiple-input multiple-output (MIMO) systems with multicarrier code division multiple access (MC-CDMA) offers a strong alternative to satisfy the demand for high data rates with rigorous quality-of-service (QoS) restrictions. In this study, this paper applies a closed-loop pre-equalisation methodology under a unified framework for MIMO and MC-CDMA systems that satisfies the QoS target with a single-user-based detector while minimising the power of the pre-equalisation factors. It is of particular interest to investigate the impact and limitations of combining the robustness of the feedback scheme with the degrees of freedom available in the system, given in terms of the number of subcarriers and multiple antennas. The contribution of this work includes the derivation of the distributed and centralised optimal closed-loop pre-equalisation solutions under the MIMO–MC-CDMA structure. The results and analysis illustrate important gains in the form of power savings, enabled by the spatial diversity of the MIMO scheme.


    1. 1)
      • 1. Fazel, K., Kaiser, S.: ‘Multi-carrier and spread spectrum systems: from OFDM and MC-CDMA to LTE and WiMAX’ (John Wiley & Sons, 2008, 2nd edn.).
    2. 2)
    3. 3)
    4. 4)
    5. 5)
    6. 6)
    7. 7)
    8. 8)
    9. 9)
    10. 10)
      • 10. Koskie, S., Gajic, Z.: ‘Signal-to-interference-based power control for wireless networks: a survey, 1992–2005’, Dyn. Continuous, Discrete Impulsive Syst. B, Appl. Algorithms, 2006, 13, (2), pp. 187220.
    11. 11)
    12. 12)
    13. 13)
    14. 14)
    15. 15)
    16. 16)
    17. 17)
    18. 18)
      • 18. Mottier, D., Castelain, D.: ‘SINR-based channel pre-equalization for uplink multi-carrier CDMA systems’. Proc. of the 13th IEEE Int. Symp. on Personal, Indoor and Mobile Radio Communications, September 2002, vol. 4, pp. 14881492. International Symposium on Personal, Indoor and Mobile Radio.
    19. 19)
      • 19. Silva, A., Gameiro, A.: ‘Downlink space-frequency preequalization techniques for TDD MC-CDMA mobile radio systems’, EURASIP J. Wirel. Commun. Netw., 2004, 1, pp. 6773.
    20. 20)
    21. 21)
    22. 22)
      • 22. Farooqui, M.Z., Saengudomlert, P.: ‘Transmit power reduction through subcarrier selection for MC-CDMA-based indoor optical wireless communications with IM/DD’, EURASIP J. Wirel. Commun. Netw., 2013, p. 2013:138.
    23. 23)
    24. 24)
    25. 25)
    26. 26)
    27. 27)
      • 27. Luenberger, D.G.: ‘Optimization by vector space methods’ (Ed. Wiley-Interscience, 1969).
    28. 28)
      • 28. Proakis, J., Salehi, M.: ‘Digital communications’ (McGraw-Hill, 5th edition, 2007).

Related content

This is a required field
Please enter a valid email address