Implementation of SU-MIMO and MU-MIMOGTD-System under Imperfect CSI Knowledge
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.
[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.
[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.
@article{"International Journal of Electrical, Electronic and Communication Sciences:56944", author = "Parit Kanjanavirojkul and Kiatwarakorn Keeratishananond and Prapun Suksompong", title = "Implementation of SU-MIMO and MU-MIMOGTD-System under Imperfect CSI Knowledge", 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.", volume = "5", number = "4", pages = "538-5", }
