Performance Analysis of Downlink MIMO WCDMA Systems Using Antenna Selection in Transmitter and MRC Plus LDD in Receiver over Correlated Nakagami-Fading Channels
Siavash Ghavami, Mahmood Mohassel Feghhi, Bahman Abolhassani
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DOI: 10.4236/wsn.2010.27067   PDF    HTML     5,123 Downloads   9,074 Views   Citations

Abstract

In this paper bit error rate (BER) performance is analyzed for multiple input-multiple output (MIMO) communications systems using antenna selection in the transmitter, maximal ratio combining (MRC) and linear de-correlating detector (LDD) in the receiver in wide band code division multiple access (WCDMA) downlink channels with correlated Nakagami fading. The MRC maximizes signal to noise ratio of the received signal, then the LDD cancels out multiple access interference (MAI). Theoretical results are validated using computer simulations. Moreover, a pilot based estimation method is proposed to jointly estimate the channel gains and the rows of the LDD operator. Simulation results show that using this proposed method, diversity order is maintained in the receiver. Furthermore, our analysis shows the spectral efficiency degradation due to the pilot based strategy is negligible.

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S. Ghavami, M. Feghhi and B. Abolhassani, "Performance Analysis of Downlink MIMO WCDMA Systems Using Antenna Selection in Transmitter and MRC Plus LDD in Receiver over Correlated Nakagami-Fading Channels," Wireless Sensor Network, Vol. 2 No. 7, 2010, pp. 555-561. doi: 10.4236/wsn.2010.27067.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] L. B. Milstein, “Wideband Code Division Multiple Access,” IEEE Journal on Selected Areas in Communications, Vol. 18, No. 8, August 2000, pp. 1344-1354.
[2] S. Verdu, “Multiuser Detection,” Cambridge University Press, Cambirdge, 1998.
[3] X. Wang and H. V. Poor, “Blind Multiuser Detection: A Subspace Approach,” IEEE Transactions on Information Theory, Vol. 44, No. 2, March 1998, pp. 677-690.
[4] B. R. Vojcic and W. M. Jang, “Transmitter Precoding in Synchronous Multiuser Communications,” IEEE Transactions on Communications, Vol. 46, No. 10, October 1998, pp. 1346-1355.
[5] E. Telatar, “Capacity of Multi-Antenna Gaussian Channels,” European Transactions on Telecommunications, Vol. 10, No. 6, 1999, pp. 585-595.
[6] G. J. Foschini and M. J. Gans, “On Limits of Wireless Communications in a Fading Environment When Using Multiple Antennas,” Wireless Personal Communications, Vol. 6, No. 3, March 1998, pp. 311-335.
[7] S. Thoen, L. Van der Perre, B. Gyselinckx and M. Engels, “Performance Analysis of Combined Transmit-SC/ Receiver-MRC,” IEEE Transactions on Communications, Vol. 49, No. 1, 2001, pp. 5-8.
[8] Z. Chen, J. Yuan and B. Vucetic, “Analysis of Transmit antenna Selection/Maximal-ratio Combining in Rayleigh Fading Channels,” IEEE Transactions on Vehicular Technology, Vol. 54, No. 4, 2005, pp. 1312-1321.
[9] L. Yang, D. Tang and J. Qin, “Performance of Spatially Correlated MIMO Channel with Antenna Selection,” IEE Ectronics Letters, Vol. 40, No. 20, 2004, pp. 1281-1282.
[10] B. Y. Wang and W. X. Zheng, “Exact BER of Transmitter Antenna Selection/Receiver MRC over Spatially Correlated Nakagami-Fading Channels,” IEEE Conference on Circuits and Systems, Kos, May 2006, pp. 1370-1373.
[11] Y. Yao and H. V. Poor, “Blind Detection of Synchronous CDMA in Non-Gaussian Channels,” IEEE Transactions on Signal Processing, Vol. 52, No. 1, January 2004, pp. 271-279.
[12] A. Papoulis, “Probability, Random Variables and Stochastic Processes,” 4th Edition, McGraw-Hill, New York, 2001.
[13] J. G. Proakis, “Digital Communications,” 4th Edition, McGraw-Hill, New York, 2001.
[14] R. L. Graham, D. B. Knuth and O. Patashnik, “Concrete Mathematics,” Addison-Wesley, New York, 1989.

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