Nonlinear iterative precoding algorithm for MIMO multiuser systems
DOI:
https://doi.org/10.3103/S073527271710003XKeywords:
MIMO, OSIC, MMSE, precoding, demodulationAbstract
A modification of the known linear precoding algorithm CLTD (closed-loop transmit diversity) intended for multiuser radio communication systems and using the MIMO technology has been proposed. The efficiency of the original precoding algorithm CLTD possessing a number of advantages as compared to earlier precoding methods based on complete information about the communication channel state is enhanced at the expense of introducing nonlinearity. The use of nonlinear procedure of ordered successive interference cancellation (OSIC) in forming the precoding matrix makes it possible to significantly increase the noise immunity of the entire system as a whole at the expense of a slight rise of algorithm computational complexity. In addition, the results of computer simulation are presented reflecting the efficiency of the proposed modification of the algorithm for forming a precoding matrix as compared to the original CLTD algorithm.References
TONG, W.; ZHU, P.; JIA, M.; CHLOMA, A.; BAKOULINE, M.; KREINDELINE, V. International patent (PCT) No. WO 2005/046081, Method to determine precoding weights based on channel state information in MIMO communication systems, 04 November 2004.
BAKULIN, M.G.; VARUKINA, L.A.; KREYNDELIN, V.B. MIMO Technology: Principles and Algorithms [in Russian]. Moscow: Goryachaya Liniya–Telekom, 2014.
SIBILLE, A.; OESTGES, C.; ZANELLA, A. MIMO: From Theory to Implementation UK: Elsevier, 2010.
ZHENG, S.; ZHAO, H.; ZHAO, L.; MEI, J.; TANG, W. Multiuser beamforming with limited feedback for FDD massive MIMO systems. Chinese J. Eng., v.2016, ID 9821845, 9 p., 2016. DOI: http://dx.doi.org/10.1155/2016/9821845.
MURATA, H.; SHINOHARA, R. Performance improvement of ZF-precoded MU-MIMO transmission by collaborative interference cancellation. IEICE Commun. Express, v.4, n.5, p.155-160, 2015. DOI: http://doi.org/10.1587/comex.4.155.
WANG, F.; BIALKOWSKI, M.E. Performance of block diagonalization scheme for downlink multiuser MIMO system with estimated channel state information. Int. J. Commun., Network and System Sciences, v.4, n.2, p.82-87, 2011. DOI: http://doi.org/10.4236/ijcns.2011.42010.
BABU, Varna L.; MATHEWS, Luxy; PILLAI, Sakuntala S. Performance analysis of linear and nonlinear precoding in MIMO systems. Int. J. Advanced Res. Computer Commun. Eng., v.4, n.6, p.373-376, 2015. DOI: http://doi.org/10.17148/IJARCCE.2015.4681.
SPENCER, Q.H.; SWINDLEHURST, A.L.; HAARDT, M. Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels. IEEE Trans. Signal Processing, v.52, n.2, p.461-471, 2004. DOI: https://doi.org/10.1109/TSP.2003.821107.
TSOULOS, G. MIMO System Technology for Wireless Communications. Boca Raton, FL: CRC Press, 2006.
ZU, K. Novel efficient precoding techniques for multiuser MIMO systems. Ph.D thesis. University of New York, May 2013.
MOISEEV, N.N.; IVANILOV, Y.P.; STOLYAROVA, E.M. Optimization Methods [in Russian]. Moscow: Nauka, 1978.
VASIL’EV, F.P. Numerical Methods for Solving Extremum Problems [in Russian]. Moscow: Nauka, 1988.
SARKAR, S.; RAHMAN, M.S. A unique equalizer to optimize BER in MIMO wireless multipath fading channel: modified MMSE vs. existing equalizers. Int. J. Emerg. Sci., v.3, n.2, p.200-215, June 2013. URL: http://www.iub.edu.pk/ijes/index.php/ijes/article/view/97.
FOLUWASU, T. Receiver architectures for MIMO wireless communication systems based on VBLAST and sphere decoding algorithms. A thesis submitted in partial fulfillment of the requirements of the University of Hertfordshire for the degree of Doctor of Philosophy. University of Hertfordshire, Hatfield, 2011.
KUMARI, P.R.; REDDY, C.K.; RAMESH, K.S. Ordered successive interference cancellation for maximum throughput in multi stream MIMO using different modulation schemes. Indian J. Sci. Technol., v.9, n.9, p.1-5, 2016. DOI: http://10.17485/ijst/2016/v9i9/85873.
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. Proc. of 1998 URSI Int. Symp. on Signals, Systems, and Electronics, 29 Sep.–2 Oct. 1998, Pisa, Italy. IEEE, 1998, p.295-300. DOI: https://doi.org/10.1109/ISSSE.1998.738086.