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A Novel Nonlinear and Non-iterative Precoding Technique for Single and Multi User MIMO Systems

  • Raja MuthalaguEmail author
Article
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Abstract

A modification of the well known linear and iterative based precoder intended for both single and multi-user multiple-input multiple-output (MIMO) has been proposed. The proposed precoder uses the nonlinear and non-iterative processing strategies to obtain more efficient and less complexity designs. The non-linearity in the precoder is introduced by using the nonlinear constellation precoding technique based on maximum distance separable codes. Also, the computation complexity in iterative based precoder design is avoided by using a singular value decomposition method. The maximum likelihood detection for the linear MIMO channel is considered. The simulation results are provided in-terms of bit error rate versus signal-to-noise ratio to show that the proposed combined non-linear and non-iterative precoding schemes outperform the conventional linear and iterative based MIMO precoder designs.

Keywords

MIMO Orthogonal frequency-division multiplexing (OFDM) Nonlinear constellation precoding (NCP) Maximum distance separable (MDS) codes Subcarrier grouping Diversity channel selection (DCS) 

References

  1. 1.
    Yang, J., & Roy, S. (1994). On joint transmitter and receiver optimization for multiple-input-multiple-output (MIMO) transmission systems. IEEE Transactions on Communications, 42, 3221–3231.CrossRefGoogle Scholar
  2. 2.
    Zhao, L., Mo, L. W., Ma, Y., & Wang, Z. (2007). Diversity and multiplexing trade-off in general fading channels. IEEE Transactions on Information Theory, 53, 1549–1557.MathSciNetCrossRefzbMATHGoogle Scholar
  3. 3.
    Foschini, G. J. (1996). Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas. Bell Labs Technical Journal, 1, 41–59.CrossRefGoogle Scholar
  4. 4.
    Raja, M., & Muthuchidambaranathan, P. (2011). SVD-based transmit beamforming for various modulations with convolution encoding. ICTACT Journal on Communication Technology, 2, 393–399.CrossRefGoogle Scholar
  5. 5.
    Raja, M., & Muthuchidambaranathan, P. (2010). BER performance of SVD-based transmit beamforming with various modulation techniques. In Proceedings of 5th international conference on industrial and information systems (ICIIS-2010), pp. 155–160.Google Scholar
  6. 6.
    Raja, M., & Muthuchidambaranathan, P. (2011). Performance analysis of closed-loop MIMO system. International Journal of Computer Applications, 4, 14–19.CrossRefGoogle Scholar
  7. 7.
    Thiagarajan, G. (2015). Novel transmit precoding methods for Rayleigh fading multiuser TDD-MIMO systems with CSIT and no CSIR. IEEE Transactions on Vehicular Technology, 64, 973–984.CrossRefGoogle Scholar
  8. 8.
    Tarokh, V., Seshadri, N., & Calderbank, A. R. (1998). Space-time codes for high data rate wireless communication: Performance criterion and code construction. IEEE Transactions on Information Theory, 44, 744–765.MathSciNetCrossRefzbMATHGoogle Scholar
  9. 9.
    Kang, M., & Alouini, M. S. (2002). Performance analysis of MIMO MRC systems over Rician fading channels. In Proceedings of IEEE Vehicular Technology Conference, pp. 869–873.Google Scholar
  10. 10.
    Dighe, P. A., Mallik, R. K., & Jamuar, S. S. (2003). Analysis of transmit-receive diversity in Rayleigh fading. IEEE Transactions on Communications, 51, 694–703.CrossRefGoogle Scholar
  11. 11.
    Basnayaka, D. A., Di Renzo, M., & Haas, H. (2016). Massive but few active MIMO. IEEE Transactions on Vehicular Technology, 65, 6861–6877.CrossRefGoogle Scholar
  12. 12.
    Sampath, H., Stoica, P., & Paulraj, A. (2001). Generalized linear precoder and decoder design for MIMO channels using the weighted MMSE criterion. IEEE Transactions on Communications, 49, 2198–2206.CrossRefGoogle Scholar
  13. 13.
    Scaglione, A., Stoica, P., Barbarossa, S., Giannakis, G. B., & Sampath, H. (2002). Optimal designs for space-time linear precoders and decoders. IEEE Transactions on Signal Processing, 50, 1051–1064.CrossRefGoogle Scholar
  14. 14.
    Yadav, A., Juntti, M., & Lilleberg, J. (2013). Linear precoder design for correlated partially coherent channels with discrete inputs. In Proceedings of the tenth international symposium on wireless communication systems, pp. 1–5, 27–30.Google Scholar
  15. 15.
    Bengtsson, M., & Ottersten, B. (2001). Optimal and suboptimal transmit beamforming. In Handbook of antennas in wireless communication. CRC Press.Google Scholar
  16. 16.
    Sampat, H., & Paulraj, A. (2002). Linear precoding for space-time coded systems with known fading correlations. IEEE Communications Letters, 6, 239–241.CrossRefGoogle Scholar
  17. 17.
    Zhang, J., Wu, Y., Zhou, S., & Wang, J. (2005). Joint linear transmitter and receiver design for the downlink of multiuser MIMO systems. IEEE Communications Letters, 9, 991–993.CrossRefGoogle Scholar
  18. 18.
    Zhang, X., & Palomar, D. P. (2006). Robust design of linear MIMO transceivers under channel uncertainty. In Proceedings of IEEE international conference on acoustics, speech, and signal processing proceedings, pp.  IV77–IV80.Google Scholar
  19. 19.
    Xiao, P., & Sellathurai, M. (2010). Improved linear transmit processing for single-user and multi-user MIMO communications systems. IEEE Transactions on Signal Processing, 58, 1768–1779.MathSciNetCrossRefzbMATHGoogle Scholar
  20. 20.
    Sanka, K., Raja, M., & Muthuchidambaranathan, P. (2011). Improved minimum total MSE transceiver design with imperfect CSI at both ends of a MIMO link. In IEEE international conference on electronics computer technology (ICECT), pp. 23–27.Google Scholar
  21. 21.
    Ding, M., & Blostein, S. D. (2009). MIMO minimum total MSE transceiver design with imperfect CSI at both ends. IEEE Transactions on Signal Process, 57, 1141–1150.MathSciNetCrossRefzbMATHGoogle Scholar
  22. 22.
    Raja, M., Sanka, K., & Muthuchidambaranathan, P. (2011). Minimum total MSE based transceiver design for single-user MIMO system. In Proceedings of 17th IEEE Asia-Pacific conference on communications (APCC-2011), pp. 720–725.Google Scholar
  23. 23.
    Raja, M., Muthuchidambaranathan, P., & Nguyen, H. (2013). Transceiver design for MIMO systems with improper modulations. Wireless Personal Communications, 68, 265–280.CrossRefGoogle Scholar
  24. 24.
    Tan, Y., Li, Q., Xu, C., Zhang, Q., & Qin, J. (2017). Robust transceiver design in multiuser MIMO system with energy harvesting constraints. Wireless Personal Communications, 95(4), 40834094.CrossRefGoogle Scholar
  25. 25.
    Ardah, K., Silva, Y. C. B., & Cavalcanti, F. R. P. (2017). Decentralized linear transceiver design in multicell MIMO broadcast channels. Journal of Communication and Information Systems, 32(1), 102115.CrossRefGoogle Scholar
  26. 26.
    Jimenez, I., Barrenechea, M., Mendicute, M., & Arruti, E. (2012). Non-linear precoding approaches for non-regenerative multiuser MIMO relay systems. In Proceedings of the 20th European signal processing conference (EUSIPCO), vol. 57, pp. 1399–1403.Google Scholar
  27. 27.
    Raja, M., & Muthuchidambaranathan, P. (2013). A novel nonlinear constellation precoding for OFDM systems with subcarrier grouping. Wireless Personal Communications, 73, 867–884.CrossRefGoogle Scholar
  28. 28.
    Shang, Y., Wang, D., & Xia, T. X.-G. (2010). Signal space diversity techniques with fast decoding based on MDS codes. IEEE Transactions on Communications, 58, 2525–2536.CrossRefGoogle Scholar
  29. 29.
    Kailath, T., Vikalo, H., & Hassibi, B. (2005). MIMO receive algorithms. In Space-time wireless systems: From array processing to MIMO communications. Cambridge, Cambridge University Press.Google Scholar
  30. 30.
    Raja, M., & Muthuchidambaranathan, P. (2013). SVD-assisted joint precoder and decoder design for the uplink of MU-MIMO systems with improper modulation. Wireless Personal Communications, 73, 1129–1142.CrossRefGoogle Scholar
  31. 31.
    Raja, M., & Muthuchidambaranathan, P. (2012). Joint optimization of precoder and decoder in multiuser MIMO systems. REV Journal on Electronics and Communications, 2, 42–49.CrossRefGoogle Scholar
  32. 32.
    Kreyndelin, V. B., & Rejeb, T. B. K. B. (2017). Nonlinear iterative precoding algorithm for MIMO multiuser systems. Radioelectronics and Communications Systems, 60(10), 449–457.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Computer ScienceBITS PilaniDubaiUAE

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