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Implementation of SU-MIMO and MU-MIMOGTD-System under Imperfect CSI Knowledge

Authors: Parit Kanjanavirojkul, Kiatwarakorn Keeratishananond, Prapun Suksompong

Abstract:

We study the performance of compressed beamforming weights feedback technique in generalized triangular decomposition (GTD) based MIMO system. GTD is a beamforming technique that enjoys QoS flexibility. The technique, however, will perform at its optimum only when the full knowledge of channel state information (CSI) is available at the transmitter. This would be impossible in the real system, where there are channel estimation error and limited feedback. We suggest a way to implement the quantized beamforming weights feedback, which can significantly reduce the feedback data, on GTD-based MIMO system and investigate the performance of the system. Interestingly, we found that compressed beamforming weights feedback does not degrade the BER performance of the system at low input power, while the channel estimation error and quantization do. For comparison, GTD is more sensitive to compression and quantization, while SVD is more sensitive to the channel estimation error. We also explore the performance of GTDbased MU-MIMO system, and find that the BER performance starts to degrade largely at around -20 dB channel estimation error.

Keywords: MIMO, MU-MIMO, GTD, Imperfect CSI.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1334568

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References:


[1] Y. Jiang, J. Li, and W Hager, Transceiver Design Using Generalized Triagular Decomposition for MIMO Communications with Qos Constraints, Conference Record of the Thirty-Eighth Asilomar Conference on Signal, Systems and Computers, pp 1154-1157, Nov.2004.
[2] Y. Jiang, W. Hager, and J. Li, "Generalized triangular decomposition, Math. Comput., pp. 10371056, Oct. 2007.
[3] F. Wang, X. Liu and M.E. Bialkowski, "Investigation into SVD based Beamforming over Rician MIMO Channels",5th International Conference on Wireless Communications, Networking and mobile computing, pp.1-4, Sept. 2009.
[4] M. Raja, P. Muthuchidambaranathan, "Performance Analysis of Colosed- Loop MIMO system", International Journal of Computer Applications, Vol.4, No.12, Aug.2010.
[5] G. Lebrun, T. Ying and M. Faulkner "MIMO transmission over a timevarying TDD channel using SVD", ELECTRONICS LETTERS, Vol.37, No.22, pp.1363-1364, Oct. 2001.
[6] G. Lebrun, J. Gao, and M. Faulkner "MIMO Transmission Over a Time-Varying Channel Using SVD", IEEE Transactions on Wireless Communications, Vol.4, No.2, pp.757-764, Mar. 2005.
[7] A. Cano-Gutierrez, M. Stojanovic, J. Vidal "EFFECT OF CHANNEL ESTIMATION ERROR ON THE PERFORMANCE OF SVD-BASED MIMO COMMUNICATION SYSTEMS", 15th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Vol.1, pp.508, Jan. 2005.
[8] C. Yuen, S. Sun and J. Zhang, "Comparative Study of SVD and QRS in Closed-loop Beamforming System", Military Communications Conference, Oct. 2007.
[9] J-K. Zhang, A. Kavcic, and K. M. Wong, "Equal-diagonal qr decomposition and its application to precoder design for successive-cancellation dectection", IEEE Trans. on Signal Processing, vol.51, pp.154-172, Jan. 2005.
[10] P. Kanjanavirojkul, K. Keeratishananond,and P. Suksompong "Implementation and Performance of Generalized Triangular Decomposition in Multi-User MIMO, The International Conference on Information and Communication Technology for Embedded Systems, Jan. 2011.
[11] D. J. Love, R. W. Heath Jr., W. Santipach, M.L.Honig, "What Is the Value of Limited Feedback for MIMO Channels?",IEEE Communications Magazine, Vol.42, Issue 10, pp.54-59, Oct. 2004.
[12] Y. Chang, K. Araki "Robust Design for Multiuser Block Diagonalization MIMO Downlink System with CSI Feedback Delay",IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications, 2009.
[13] K. Kobayashi, T. Ohtsuki, T. Kaneko "MIMO Systems in the Presence of Feedback Delay", IEEE International Conference on Communications, June 2006.
[14] B. Makki, T. Eriksson Data "Transmission in the Presence of Noisy Channel State Feedback and Outage Probability Constraint", International Symposium on Information Theory and its Applications (ISITA), Oct 2010.
[15] IEEE802.11n-2009, "IEEE Standard for Local and Metropolitan Area Networks - Telecommunications and Information Ixchange between Systems - Local and Metropolitan Area Networks"
[16] X. Sun, L. J. Cimini, L. J. Greenstein, D. S. Chan, and B. Douglas, "Performance Evaluation of Quantized Feedback Beamforming in IEEE 802.1 n Wireless Networks, 41st Annual Conference on Information Sciences and Systems, Mar. 2007.
[17] Y. Peng, S. Armour, and J.McGeehan "Performance Evaluation of Channel Estimation Techniques for MIMO-OFDMA systems with Adaptive Sub-carrier Allocation",IEEE Wireless Communications and Networking Conference, Apr. 2006.
[18] T.Yoo, and A. Goldsmith "Capacity of Fading MIMO Channels with Channel Estimation Error",IEEE International Conference on Communications, Jun. 2004.
[19] E. Perahia, and R Stacey "Next Generation Wireless LANs",1st ed. pp. 254-262, New York, US: Cambridge University Press, 2008.