Multiuser Transmitter Preprocessing Aided Downlink Communications in Correlated Frequency-Selective Channels

  • Nithin Srinivasan
  • Sriram Ravichandran
  • Shruthi Ravichandran
  • Prabagarane Nagaradjane
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 176)


In this treatise, we investigate and present the performance of zero- forcing multiuser transmitter preprocessing (ZF-MUTP) in the context of multiuser multiple-input multiple-output (MIMO) systems based on space division multiple access (SDMA) in correlated frequency-selective channel, as well as in downlink (DL) direct sequence code division multiple access (DS CDMA) systems. The ZF-MUTP approach adopted in this treatise creates an orthogonal subspace to the interfering subspace in contrast to the conventional approach of pseudo inverting the channel state information (CSI) matrix. This approach completely removes the multiuser interference in downlink (DL) communications. Further, we investigate two power allocation policies based on maximum signal to noise ratio (MSNR) and equal power in the context of achievable capacity and symbol error rate (SER) in the DL system. It is shown through simulation that the achievable capacity in SDMA systems in terms of the number of bits per second per channel use is better in the case of MSNR power allocation policy than equal power allocation scheme. Also, simulation results demonstrate that MSNR results in better achievable SER than equal power allocation policy. Further, this ZF-MUTP based on creating orthogonal subspace to interfering subspace results in the same performance as that of the conventional ZF-MUTP.


Multiple-input multiple-output multiuser transmitter preprocessing orthogonal subspace direct sequence code division multiple access 


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  1. 1.
    Wolniansky, P.W., Foschini, G.J., Golden, G.D., Valenzuela, R.A.: V-BLAST: an architecture for realizing very high data rates over the rich-scattering wireless channel. In: International Symposium on Signals, Systems and Electronics, September 29-October 2, pp. 295–300 (1998)Google Scholar
  2. 2.
    Yang, L.-L.: A Zero-Forcing Multiuser Transmitter Preprocessing Scheme for Downlink Communications. IEEE Trans. on Commun. 56(6), 862–865 (2008)CrossRefGoogle Scholar
  3. 3.
    Gerlach, D., Paulraj, A.: Adaptive transmitting antenna arrays with feedback. IEEE Signal Processing Lett. 1, 150–152 (1994)CrossRefGoogle Scholar
  4. 4.
    Vojcic, B., Jang, W.: Transmitter preprocessing in synchronousmultiuser communications. IEEE Trans. Commun. 46, 1346–1355 (1998)CrossRefGoogle Scholar
  5. 5.
    Choi, L.-U., Murch, R.D.: Transmit-preprocessing technique with simplified receivers for the downlink of MISO TDD-CDMA systems. IEEE Trans. Veh. Technol. 53, 285–295 (2004)CrossRefGoogle Scholar
  6. 6.
    Yi, S.J., Tsimenidis, C.C., Sharif, B.S.: Transmitter precoding in downlink MC-CDMA systems over frequency-selective Rayleigh fading channels. IEE Proc. Commun. 152, 952–958 (2005)CrossRefGoogle Scholar
  7. 7.
    Choi, L.-U., Murch, R.D.: A transmit preprocessing technique for multiuser MIMO systems using a decomposition approach. IEEE Trans. Wireless Commun. 3, 20–24 (2004)CrossRefGoogle Scholar
  8. 8.
    Liu, J., Krzumien, W.A.: A space constraint based block Tomlinson-Harashima precoding technique for the multi-user mimo downlink. In: Proc. IEEE. PACRIM, pp. 61–64 (August 2005)Google Scholar
  9. 9.
    Xia, X.-G.: New precoding for intersymbol interference cancellation using nonmaximally decimated multirate filterbanks with ideal FIR equalizers. IEEE Trans. Signal Processing 45, 2431–2441 (1997)CrossRefGoogle Scholar
  10. 10.
    Li, L., Gu, G.: Design of optimal zero-forcing precoders for MIMO channels via optimal full information control. IEEE Trans. Signal Processing 53, 3238–3246 (2005)MathSciNetCrossRefGoogle Scholar
  11. 11.
    Trees, H.L.V.: Optimum Array Processing. Wiley Interscience (2002)Google Scholar
  12. 12.
    Morelli, M., Sanguinetti, L.: A novel prefiltering technique for downlink transmissions in TDD MC-CDMA systems. IEEE Trans. Wireless Commun. 4, 2064–2069 (2005)CrossRefGoogle Scholar
  13. 13.
    Prabagarane, N., Ashwina, Y., Sabrish Karthik, V., Muralidharan, P.: Perrformance of transmitter preprocessing assisted DSTTD over frequency-selective wireless communication channels. In: Proc. IEEE WCNC 2011, Wireless Communications and Networking Conference, WCNC, March 28-31, pp. 1298–1303 (2011)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Nithin Srinivasan
    • 1
  • Sriram Ravichandran
    • 1
  • Shruthi Ravichandran
    • 1
  • Prabagarane Nagaradjane
    • 1
  1. 1.Department of Electronics and Communication EngineeringSSN InstitutionsChennaiIndia

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