Non-Linear and Non-Iterative Based Transceiver Design for SU-MIMO Systems
- 7 Downloads
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 selectionReferences
- [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): 3221–3231.CrossRefGoogle Scholar
- [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): 1549–1557.MathSciNetCrossRefMATHGoogle Scholar
- [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): 41–59.CrossRefGoogle Scholar
- [4]M. Raja, P. Muthuchidambaranathan. SVD-based transmit beamforming for various modulations with convolution encoding [J]. ICTACT Journal on Communication Technology, 2011, 2(3): 393–399.CrossRefGoogle Scholar
- [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: 155–160.Google Scholar
- [6]M. Raja, P. Muthuchidambaranathan. Performance analysis of closedloop MIMO system [J]. International Journal of Computer Applications, 2011, 4(12): 14–19.CrossRefGoogle Scholar
- [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): 973–984.CrossRefGoogle Scholar
- [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): 744–765.MathSciNetCrossRefMATHGoogle Scholar
- [9]M. Kang, M. S. Alouini. Performance analysis of MIMO MRC systems over Rician fading channels [C]//IEEE Vehicular Technology Conference, 2002: 869–873.Google Scholar
- [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): 694–703.CrossRefGoogle Scholar
- [11]D. A. Basnayaka, M. D. Renzo, H. Haas. Massive but few active MIMO [J]. IEEE Transactions on Vehicular Technology, 2016, 65(9): 6861–6877.CrossRefGoogle Scholar
- [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): 2198–2206.CrossRefGoogle Scholar
- [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): 1051–1064.CrossRefGoogle Scholar
- [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: 1–5.Google Scholar
- [15]M. Bengtsson, B. Ottersten. Optimal and suboptimal transmit beamforming [M]. Handbook of Antennas in Wireless Communication, CRC Press, 2001.Google Scholar
- [16]H. Sampat, A. Paulraj. Linear precoding for space-time coded systems with known fading correlations [J]. IEEE Communication Letters, 2002, 6(6): 239–241.CrossRefGoogle Scholar
- [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): 991–993.CrossRefGoogle Scholar
- [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–IV80.Google Scholar
- [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): 1768–1779.MathSciNetCrossRefGoogle Scholar
- [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): 1141–1150.MathSciNetCrossRefGoogle Scholar
- [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: 23–27.Google Scholar
- [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: 720–725.Google Scholar
- [23]M. Raja, P. Muthuchidambaranathan, H. H. Nguyen. Transceiver design for MIMO systems with improper modulations [J]. Wireless Personal Communications, Springer, 2013, 68(2): 265–280.CrossRefGoogle Scholar
- [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: 1399–1403.Google Scholar
- [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): 29–36.CrossRefGoogle Scholar
- [26]X. L. Sun, K. Xu, Y. Xu. Multipair two-way massive MIMO AF relaying with ZFR/ZFT and hardware impairments over high-altitude platforms [J]. Journal of Communications and Information Networks, Springer, 2016, 1(3): 105–114.MathSciNetCrossRefGoogle Scholar
- [27]D. A. Basnayaka, M. D. Renzo, H. Haas. Massive but few active MIMO [J]. IEEE Transactions on Vehicular Technology, 2016, 65(9): 6861–6877.CrossRefGoogle Scholar
- [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): 2599–2613.CrossRefGoogle Scholar
- [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): 1129–1142.CrossRefGoogle Scholar
- [30]M. Raja, P. Muthuchidambaranathan. A novel nonlinear constellation precoding for OFDM systems with subcarrier grouping [J]. Wireless Personal Communications, Springer, 2013, 73(3): 867–884.CrossRefGoogle Scholar
- [31]Y. Shang, D. Wang, X. G. Xia. Signal space diversity techniques with fast decoding based on MDS codes [J]. IEEE Transactions on Communications, 58(9): 2525–2536, 2010.CrossRefGoogle Scholar
- [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