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Volume 28 Issue 9
Sep.  2010
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Tang Wan-bin, Zhang Liang, Li Shao-qian. MMSE Iterative Soft Interference Cancellation Algorithm Using Transmit Power Allocation Scheme in V-BLAST System[J]. Journal of Electronics & Information Technology, 2006, 28(9): 1640-1644.
Citation: Tang Wan-bin, Zhang Liang, Li Shao-qian. MMSE Iterative Soft Interference Cancellation Algorithm Using Transmit Power Allocation Scheme in V-BLAST System[J]. Journal of Electronics & Information Technology, 2006, 28(9): 1640-1644.

MMSE Iterative Soft Interference Cancellation Algorithm Using Transmit Power Allocation Scheme in V-BLAST System

  • Received Date: 2004-12-17
  • Rev Recd Date: 2005-08-04
  • Publish Date: 2006-09-19
  • In an achieving near-capacity V-BLAST turbo receiver, Soft-In/Soft-Out (SISO) signal detector is needed. Minimum Mean Square Error (MMSE) iterative soft interference canceller is a popular SISO detector in such system. Link adaptation is a good scheme to improve performance in wireless system. In the paper, a modification of MMSE iterative soft interference cancellation detector is presented for variable transmission power, and an effective transmit power scheme is proposed to decrease Bit Error Rate (BER). This scheme requires small feedback overhead. By simulation of uncoded V-BLAST system with 4 transmit antennas and 4 receive antennas, it is proved that if the performance requirement of BER=10-3, the modified V-BLAST system with transmit power allocation outperforms the conventional V-BLAST system about 2dB when QPSK modulation is used and iterative number of detection equals 2. When 16QAM is used, the proposed scheme outperforms the conventional scheme about 6dB.
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  • Foschini G J, Gans M J. On limits of wireless communications in a fading environment when using multiple antennas. Wireless Personal Communication, 1998, 6(5): 315-335.[2]Tarokh V, Naguib A, Seshadri N. Combined array processing and space-time coding[J].IEEE Trans. on Information Theory.1999, 45(5):1121-1128[3]Raleigh G G, Cioffi J M. Spatio-temporal coding for wireless communication[J].IEEE Trans. on Communications.1998, 46(3):357-366[4]Wolniansky P W, Foschini G J, Golden G D, et al.. V-BLAST: An architecture for realizing very high data rates over the rich-scattering wireless channel. Proceedings of the URSI International Symposium on Signals, Systems and Electronics, Pisa, Italy, Sept.-Oct. 1998: 295-300.[5]Arogyaswami Paulraj, Rohit Nabar, Dhananjay Gore. Introduction to Space-Time Wireless Communications. United Kingdom: Cambridge University Press, 2003: 121-235.[6]Golden G D, Foschini C J, Valenzuela R A, et al.. Detection algorithm and initial laboratory results using V-BLAST space-time communication architecture[J].Electronics Letters.1999, 35(1):14-16[7]Takumi Ito, Wang Xiaodong, Kakura Yoshikazu, et al.. Performance comparison of MF and MMSE combined iterative soft interference canceller and V-BLAST technique in MIMO/OFDM systems. IEEE Vehicular Technology Conference 2003 Fall, 2003, 1: 488-492.[8]Wautelet Xavier, Dejonghe Antoine, Vandendorpe Luc. MMSE-based fractional Turbo receiver for space-time BICM over frequency-selective MIMO fading channels[J].IEEE Trans. on Signal Processing.2004, 52(6):1804-1809[9]Sellathurai Mathini, Haykin Simon. Turbo-BLAST for wireless communications: Theory and experiments[J].IEEE Trans. on Signal Processing.2002, 50(10):2538-2546[10]Goldsmith A J, Varaiya P. Capacity of fading channels with channel side information[J].IEEE Trans. on Information Theory.1997, 43(11):1986-1992[11]Chung S T, Goldsmith A J. Degrees of freedom in adaptivemodulation: a unified view[J].IEEE Trans. on Communications.2001, 49(12):1561-1571[12]Nam S H, Shin O S, Lee K B. Transmit power allocation for a modified V-BLAST system. IEEE Trans. on Communications. 2004, 52(7): 1074-1079.
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