MAP-MMSE Aided MIMO-MC IDMA System for Uplink Transmission in Frequency Selective Channels: Performance Results

  • K. S. Vishvaksenan
  • R. Seshasayanan
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 143)


In this paper ,we investigate the performance of multiple-input multiple-output (MIMO) multi-carrier interleave division multiple access (MCIDMA) scheme in frequency selective channels. In a multi-user scenario users conflict multiple access interference (MAI). Also, the presence of multiple antennas both at the transmitter and receiver introduces multi-stream interference (MSI). Further, the antenna correlation induces performance degradation. Hence, these issues require attention and should be mitigated in order to achieve the desired performance in terms of achievable bit-error-rate (BER). In particular, we investigate the effects of four types of delay-spread distributions pertaining to LTE channel models and SUI channel models in the context of MIMO MC-IDMA with the aid of multi-user detection (MUD). MIMO detection is effected with minimum mean square error (MMSE) maximum-a-posteriori (MAP) detector. Also, performance study is extended to coded MIMO MC-IDMA system in terms of achievable BER with turbo codes. Simulation results show that MC-IDMA with the employed MUD is capable of achieving better performance compared to CDMA.


BCJR decoding algorithm multi user detection channel capacity LTE channel model SUI channel model 


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  1. 1.
    Ping, L., Liu, L., Wu, K., Leung, W.K.: Interleave-division Multiple-Access. IEEE Transaction. on wireless Commun. 5(4), 938–947 (2006)CrossRefGoogle Scholar
  2. 2.
    Ping, L., Guo, Q., Tung, J.: The OFDM-IDMA approach to wireless communications. IEEE Wireless Communications 14, 18–24 (2007)CrossRefGoogle Scholar
  3. 3.
    Guo, Q., Yuan, X., Ping, L.: Single carrier and multi carrier IDMA schemes with cyclic prefixing and zero padding techniques. European Transcations on Telecommunications (2008); doi:10.1002/ett.1266Google Scholar
  4. 4.
    Tung, J., Guo, Q., Ping, L.: Analysis and design of OFDM-IDMA system. European Transcations on Telecommunications 19, 561–569 (2008), doi:10.1002/ett.1304CrossRefGoogle Scholar
  5. 5.
    Zhang, R., Hanzo, L.: Iteratively detected Multi-carrier Interleave division Multiple access. In: International Conference MICROC0LL 2007, BUDAPEST, Hungary (2007)Google Scholar
  6. 6.
    Mahafeno, I., Langlais, C., Jego, C.: OFDM-IDMA versus IDMA with ISI Cancellation for quasi-static rayleigh fading multipath channel. In: Proc. 4th Int. Sump. Turbo Codes, pp. 140–144 (September 2006)Google Scholar
  7. 7.
    Novak, C., Hlawatch, F., Matz, G.: MIMO-IDMA: Uplink Multiuser MIMO Communications using interleave Division Multiple access and Low –Complexity Iterative Receivers. In: The Proced. IEEE ICASSP 2007, vol. III, pp. 225–228 (April 2007)Google Scholar
  8. 8.
    Li, L., Tulino, A.M., Verdú, S.: Design of Reduced-rank MMSE Multiuser Detectors using Random Matrix Methods. IEEE Trans. Information Theory 50(6), 986–1008 (2004)CrossRefGoogle Scholar
  9. 9.
    ten Brink, S.: Convergence behavior of iteratively decoded parallel concatenated codes. IEEE Transaction. Commun. 49, 1727–1737 (2001)MATHCrossRefGoogle Scholar
  10. 10.
    Wolniansky, P.W., Foschini, G.J., Golden, G.D., Valenzuela, R.A.: V-Blast:An architecture for realizing very high data rate over the rich scattering wireless channel. In: IEEE ISSSE, pp. 295–300 (September 1998)Google Scholar
  11. 11.
    Zheng, L., Tse, D.N.C.: Diversity and Multiplexing:a fundamental trade-off in multiple-antenna channels. IEEE Trans. Info.Theory 49, 1073–1096 (2003)MATHCrossRefGoogle Scholar
  12. 12.
    Choi, J.: Nulling and cancellation detector for MIMO channels and its application to multi stage receiver for coded signals:Performance and optimization. IEEE Transaction on Wireless Communication 5(5) (May 2006)Google Scholar
  13. 13.
    Nagaradjane, P., Vasan, A.S.S., Krishnan, L., Venkataswamy, A.: Joint VBLAST/STBC Assisted MC DS/CDMA System with Multiuser Detection. In: Proc. IEEE International Conference, WiCOM (October 2009)Google Scholar
  14. 14.
    Almutairi, A.F., Latchman, H.A., Wong, T.F., Lee, M., Miller, S.L.: Performance of MMSE Receiver Based CDMA System with Higher Order Modulation Formats in a Fading Channel. Wireless Personal Communications 25, 117–136 (2003)Google Scholar
  15. 15.
    Sreedhar, D., Chockalingam, A.: MMSE Receiver for Multi-user Interference Cancellation in Uplink OFDMA. In: Proc. IEEE VTC 2006 (Spring), Melbourne (May 2006); 0-7803-9392-9/06Google Scholar
  16. 16.
    Bahl, L.R., Cocke, J., Jelinek, F., Raviv, J.: Optimal decoding of linear codes for minimizing sysbol error rate. IEEE Trans. Information Theory 20, 248–287 (1974)MathSciNetCrossRefGoogle Scholar
  17. 17.
    Fahmy, Y.A., Mourad, H.-A.M., Al-Hussaini, E.K.: Multi-User MIMO Mobile CDMA Uplink System Employing Turbo Coding and Joint Detection Through a Multipath Rayleigh Fading Channel. Wireless Personal Communications 38, 325–341 (2006)CrossRefGoogle Scholar
  18. 18.
    Maucher, J., Furrer, J.: WIMAX, Der IEEE 802.16 standard:Technik, Anwendung, Potential. Heise publisher, Hannover (2007)Google Scholar
  19. 19.
    3GPPP(TR 30.803), Evolved universal Terrestrial radio access(E-UTRA);user equipment(UE) radio transmission and reception(Release 8),Technical specification, Sophia Antipolis, France (2007)Google Scholar

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Department of Electronics and Communication EngineeringSSN InstitutionsChennaiIndia
  2. 2.Department of Electronics and Communication EngineeringAnna UniversityChennaiIndia

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