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Non-Linear and Non-Iterative Based Transceiver Design for SU-MIMO Systems

  • Raja Muthalagu
Review paper

Abstract

This paper considers the design of a low-complexity and high-performance precoder for multiple-input multiple-output (MIMO) systems. The precoder is designed by combining both nonlinear and non-iterative processing strategies. The proposed nonlinear precoding techniques employ a nonlinear constellation precoding technique based on maximum distance separable codes at the transmitter. We propose to reduce the computational complexity in iterative-based precoding algorithms by using less complex non-iterative singular value decomposition-based joint precoder and decoder pair design. The maximum likelihood detection for the linear MIMO channel is considered. The simulation results showed that the proposed nonlinear and non-iterative precoding schemes outperform the conventional linear MIMO precoder design, even when a reduced-complexity suboptimal strategy is adopted, considering the bit error rate performance.

Keywords

multiple-input multiple-output singular value decomposition maximum distance separable codes subcarrier grouping diversity channel selection 

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References

  1. [1]
    J. Yang, S. Roy. On joint transmitter and receiver optimization for multiple-input-multiple-output (MIMO) transmission systems [J]. IEEE Transactions on Communications, 1994, 42(12): 3221–3231CrossRefGoogle Scholar
  2. [2]
    L. Zhao, L.W. Mo, Y. Ma, et al. Diversity and multiplexing trade-off in general fading channels [J]. IEEE Transactions on Information Theory, 2007, 53(4): 1549–1557MathSciNetCrossRefzbMATHGoogle Scholar
  3. [3]
    G. J. Foschini. Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas [J]. Bell Labs Technical Journal, 1996, 1(2): 41–59CrossRefGoogle Scholar
  4. [4]
    M. Raja, P. Muthuchidambaranathan. SVD-based transmit beamforming for various modulations with convolution encoding [J]. ICTACT Journal on Communication Technology, 2011, 2(3): 393–399CrossRefGoogle Scholar
  5. [5]
    M. Raja, P. Muthuchidambaranathan. BER performance of SVD-based transmit beamforming with various modulation techniques [C]//5th IEEE International Conference on Industrial and Information Systems (ICIIS), 2010: 155–160Google Scholar
  6. [6]
    M. Raja, P. Muthuchidambaranathan. Performance analysis of closedloop MIMO system [J]. International Journal of Computer Applications, 2011, 4(12): 14–19CrossRefGoogle Scholar
  7. [7]
    G. Thiagarajan. Novel transmit precoding methods for rayleigh fading multiuser TDD-MIMO systems with CSIT and no CSIR [J]. IEEE Transactions on Vehicular Technology, 2015, 64(3): 973–984CrossRefGoogle Scholar
  8. [8]
    V. Tarokh, N. Seshadri, A. R. Calderbank. Space-time codes for high data rate wireless communication: performance criterion and code construction [J]. IEEE Transactions on Information Theory, 1998, 44(2): 744–765MathSciNetCrossRefzbMATHGoogle Scholar
  9. [9]
    M. Kang, M. S. Alouini. Performance analysis of MIMO MRC systems over Rician fading channels [C]//IEEE Vehicular Technology Conference, 2002: 869–873Google Scholar
  10. [10]
    P. A. Dighe, R. K. Mallik, S. S. Jamuar. Analysis of transmit-receive diversity in Rayleigh fading [J]. IEEE Transactions on Communications, 2003, 51(4): 694–703CrossRefGoogle Scholar
  11. [11]
    D. A. Basnayaka, M. D. Renzo, H. Haas. Massive but few active MIMO [J]. IEEE Transactions on Vehicular Technology, 2016, 65(9): 6861–6877CrossRefGoogle Scholar
  12. [12]
    H. Sampath, P. Stoica, A. Paulraj. Generalized linear precoder and decoder design for MIMO channels using the weighted MMSE criterion [J]. IEEE Transactions on Communications, 2001, 49(12): 2198–2206CrossRefGoogle Scholar
  13. [13]
    A. Scaglione, P. Stoica, S. Barbarossa, et al. Optimal designs for spacetime linear precoders and decoders [J]. IEEE Transactions on Signal Processing, 2002, 50(5): 1051–1064CrossRefGoogle Scholar
  14. [14]
    A. Yadav, M. Juntti, J. Lilleberg. Linear precoder design for correlated partially coherent channels with discrete inputs [C]//Proceedings of the Tenth International Symposium on Wireless Communication Systems, 2013: 1–5Google Scholar
  15. [15]
    M. Bengtsson, B. Ottersten. Optimal and suboptimal transmit beamforming [M]. Handbook of Antennas in Wireless Communication, CRC Press, 2001Google Scholar
  16. [16]
    H. Sampat, A. Paulraj. Linear precoding for space-time coded systems with known fading correlations [J]. IEEE Communication Letters, 2002, 6(6): 239–241CrossRefGoogle Scholar
  17. [17]
    J. Zhang, Y. Wu, S. Zhou, et al. Joint linear transmitter and receiver design for the downlink of multiuser MIMO systems [J]. IEEE Communication Letters, 2005, 9(11): 991–993CrossRefGoogle Scholar
  18. [18]
    X. Zhang, D. P. Palomar. Robust design of linear mimo transceivers under channel uncertainty [C]//IEEE International Conference on Acoustics, Speech, and Signal Processing, 2006: IV77–IV80Google Scholar
  19. [19]
    P. Xiao, M. Sellathurai. Improved linear transmit processing for singleuser and multi-user MIMO communications systems [J]. IEEE Transactions on Signal Processing, 2010, 58(3): 1768–1779MathSciNetCrossRefGoogle Scholar
  20. [20]
    M. H. Ding, S. D. Blostein. MIMO minimum total MSE transceiver design with imperfect CSI at both ends [J]. IEEE Transactions on Signal Processing, 2009, 57(3): 1141–1150MathSciNetCrossRefGoogle Scholar
  21. [21]
    K. Sanka, M. Raja, P. Muthuchidambaranathan. Improved minimum total MSE transceiver design with imperfect CSI at both ends of a MIMO link [C]//IEEE International Conference on Electronics Computer Technology (ICECT), 2011: 23–27Google Scholar
  22. [22]
    M. Raja, K. Sanka, P. Muthuchidambaranathan. Minimum total MSE based transceiver design for single-user MIMO system [C]//Proceedings of The 17th IEEE Asia-Pacific Conference on Communications (APCC-2011), 2011: 720–725CrossRefGoogle Scholar
  23. [23]
    M. Raja, P. Muthuchidambaranathan, H. H. Nguyen. Transceiver design for MIMO systems with improper modulations [J]. Wireless Personal Communications, Springer, 2013, 68(2): 265–280CrossRefGoogle Scholar
  24. [24]
    I. Jimenez, M. Barrenechea, M. Mendicute, et al. Non-linear precoding approaches for non-regenerative multiuser MIMO relay systems [C]//Proceedings of the 20th European Signal Processing Conference (EUSIPCO), 2012: 1399–1403Google Scholar
  25. [25]
    J. H. Choi, B. Lin. MMSE-based random sampling for iterative detection for large-scale MIMO systems [J]. Journal of Communications and Information Networks, Springer, 2016, 1(2): 29–36CrossRefGoogle Scholar
  26. [26]
    X. L. Sun, K. Xu, Y. Xu. Multipair two-way massive MIMO AFrelaying with ZFR/ZFT and hardware impairments over high-altitude platforms [J]. Journal of Communications and Information Networks, Springer, 2016, 1(3): 105–114MathSciNetCrossRefGoogle Scholar
  27. [27]
    D. A. Basnayaka, M. D. Renzo, H. Haas. Massive but few active MIMO [J]. IEEE Transactions on Vehicular Technology, 2016, 65(9): 6861–6877CrossRefGoogle Scholar
  28. [28]
    S. Zhou, G. B. Giannakis. Optimal transmitter eigen-beamforming and space time block coding based on channel mean feedback [J]. IEEE Transactions on Signal Processing, 2002, 50(10): 2599–2613CrossRefGoogle Scholar
  29. [29]
    M. Raja, P. Muthuchidambaranathan. SVD-assisted joint precoder and decoder design for the uplink of MU-MIMO systems with improper modulation [J]. Wireless Personal Communications, Springer, 2013, 73(3): 1129–1142CrossRefGoogle Scholar
  30. [30]
    M. Raja, P. Muthuchidambaranathan. A novel nonlinear constellation precoding for OFDM systems with subcarrier grouping [J]. Wireless Personal Communications, Springer, 2013, 73(3): 867–884CrossRefGoogle Scholar
  31. [31]
    Y. Shang, D. Wang, X. G. Xia. Signal space diversity techniques with fast decoding based on MDS codes [J]. IEEE Transactions on Communications, 2010, 58(9): 2525–2536CrossRefGoogle Scholar
  32. [32]
    T. Kailath, H. Vikalo, B. Hassibi. MIMO receive algorithms space-time wireless systems: from array processing to MIMO communications [M]. Cambridge: Cambridge University Press, 2005.Google Scholar

Copyright information

© Posts & Telecom Press and Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of EEE, Birla Institute of Technology and Science (BITS), PilaniDubai Campus, Dubai International Academic CityDubaiUAE

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