Transmitter Design for LMS-MIMO-MCCDMA Systems with Pilot Channel Estimates and Zero Forcing Equalizer
We propose a downlink multiple-input multipleoutput
(MIMO) multi-carrier code division multiple access (MCCDMA)
system with adaptive beamforming algorithm for smart
antennas. The algorithm used in this paper is based on the Least
Mean Square (LMS), with pilot channel estimation (PCE) and the
zero forcing equalizer (ZFE) in the receiver, requiring reference
signal and no knowledge channel. MC-CDMA is studied in a
multiple antenna context in order to efficiently exploit robustness
against multipath effects and multi-user flexibility of MC-CDMA and
channel diversity offered by MIMO systems for radio mobile
channels. Computer simulations, considering multi-path Rayleigh
Fading Channel, interference inter symbol and interference are
presented to verify the performance. Simulation results show that the
scheme achieves good performance in a multi-user system.
[1] Y. Ogawa, M. Ohmiya, and K. Itoh, "An adaptive array system for highspeed
mobile communications," IEEE Personal Commun, vol. E75B,
May 1992, no. 5, pp. 413-421.
[2] Y. Ogawa, and T. Ohgane, "Adaptive antennas for future mobile radio,"
IEICE Trans. Fundamentals, vol. E79-A, No. 7, July 1996, pp. 961-967.
[3] E. Telatar, "Capacity of multi-antenna Gaussian channels," AT&T Bell
Labs. Tech. Memo, vol. 10, No. 6, Oct. 1995, pp. 585-595.
[4] H. Sampath, P. Stoica, and A. Paulraj, "Generalized linear precoder and
decoder design for MIMO channels using the weighted mmse criterion,"
IEEE Trans. on Commun, vol. 49, No. 12, Dec 2001, pp. 2198-2206.
[5] N. Yee, J-P. Linnartz, G. Fettweis, "Multicarrier CDMA in indoor
wireless radio networks," IEEE PIMRC, Sept. 1993, pp. 109-113.
[6] K. Fazel, L. Papke, "On the performance of convolutionnally-coded
CDMA/OFDM for mobile communication system," IEEE PIMRC, Sept
1993, pp. 468-472.
[7] R. Aifeng, Y. Qinye, "Blind Channel Estimation for Space-Time Block
Coded MC-CDMA System," LNCS, Springer-Verlag Berlin Heidelberg,
Vol. 4223, 2006, pp. 1092-1095.
[8] A. F. Naguib, "Adaptive antenna for CDMA W ireless Networks," Ph. D.
thesis, 1996, Stanford Univ., Stanford, CA.
[9] K. K. Wong, R. D. Murch, and K. B. Letaief, "Optimizing time and
space MlMO antenna system for frequency selective fading channels,"
IEEE Journal on Selected Areas in Communication, vol. 19, No. 7, July
2001, pp. 1395-1407.
[10] J. Park, L. M. Tuan, and C. Yoon, "A New Adaptive Beamforming
Algorithm for MIMO Smart Antennas," IEEE Trans. on Comm, 2002,
pp. 664-667.
[11] Y. Sun, and M. S. Yee, "MIMO Iterative Array Processing with
LMMSE Turbo Equalization," IEEE Vehicular Technology Conference,
Vol. 3, 2005, pp. 1585-1589.
[1] Y. Ogawa, M. Ohmiya, and K. Itoh, "An adaptive array system for highspeed
mobile communications," IEEE Personal Commun, vol. E75B,
May 1992, no. 5, pp. 413-421.
[2] Y. Ogawa, and T. Ohgane, "Adaptive antennas for future mobile radio,"
IEICE Trans. Fundamentals, vol. E79-A, No. 7, July 1996, pp. 961-967.
[3] E. Telatar, "Capacity of multi-antenna Gaussian channels," AT&T Bell
Labs. Tech. Memo, vol. 10, No. 6, Oct. 1995, pp. 585-595.
[4] H. Sampath, P. Stoica, and A. Paulraj, "Generalized linear precoder and
decoder design for MIMO channels using the weighted mmse criterion,"
IEEE Trans. on Commun, vol. 49, No. 12, Dec 2001, pp. 2198-2206.
[5] N. Yee, J-P. Linnartz, G. Fettweis, "Multicarrier CDMA in indoor
wireless radio networks," IEEE PIMRC, Sept. 1993, pp. 109-113.
[6] K. Fazel, L. Papke, "On the performance of convolutionnally-coded
CDMA/OFDM for mobile communication system," IEEE PIMRC, Sept
1993, pp. 468-472.
[7] R. Aifeng, Y. Qinye, "Blind Channel Estimation for Space-Time Block
Coded MC-CDMA System," LNCS, Springer-Verlag Berlin Heidelberg,
Vol. 4223, 2006, pp. 1092-1095.
[8] A. F. Naguib, "Adaptive antenna for CDMA W ireless Networks," Ph. D.
thesis, 1996, Stanford Univ., Stanford, CA.
[9] K. K. Wong, R. D. Murch, and K. B. Letaief, "Optimizing time and
space MlMO antenna system for frequency selective fading channels,"
IEEE Journal on Selected Areas in Communication, vol. 19, No. 7, July
2001, pp. 1395-1407.
[10] J. Park, L. M. Tuan, and C. Yoon, "A New Adaptive Beamforming
Algorithm for MIMO Smart Antennas," IEEE Trans. on Comm, 2002,
pp. 664-667.
[11] Y. Sun, and M. S. Yee, "MIMO Iterative Array Processing with
LMMSE Turbo Equalization," IEEE Vehicular Technology Conference,
Vol. 3, 2005, pp. 1585-1589.
@article{"International Journal of Electrical, Electronic and Communication Sciences:57600", author = "S.M. Bahri and F.T. Bendimerad", title = "Transmitter Design for LMS-MIMO-MCCDMA Systems with Pilot Channel Estimates and Zero Forcing Equalizer", abstract = "We propose a downlink multiple-input multipleoutput
(MIMO) multi-carrier code division multiple access (MCCDMA)
system with adaptive beamforming algorithm for smart
antennas. The algorithm used in this paper is based on the Least
Mean Square (LMS), with pilot channel estimation (PCE) and the
zero forcing equalizer (ZFE) in the receiver, requiring reference
signal and no knowledge channel. MC-CDMA is studied in a
multiple antenna context in order to efficiently exploit robustness
against multipath effects and multi-user flexibility of MC-CDMA and
channel diversity offered by MIMO systems for radio mobile
channels. Computer simulations, considering multi-path Rayleigh
Fading Channel, interference inter symbol and interference are
presented to verify the performance. Simulation results show that the
scheme achieves good performance in a multi-user system.", keywords = "Adaptive Beamforming, LMS Algorithm, MCCDMA,
MIMO System, Smart Antenna.", volume = "2", number = "3", pages = "442-6", }