EFFICIENT TRANSMITTER-RECEIVER OPTIMIZATION FOR MULTI-USER SPATIAL MULTIPLEXING MIMO SYSTEM WITH ANTENNA SELECTION

Spatial multiplexing Multi-user multiple-input multiple-output (MU-MIMO) communication is an effective scheme to provide a substantial gain in system throughput. In MU-MIMO downlink communications system, it is a challenge to pre-cancel multi-user interference (MUI) and inter-symbol interference (ISI) effectively. However, traditional block diagonalization (BD) algorithm is deficient of avoiding noise enhancement, and its complexity of optimal preprocessing is high. Therefore, assuming channel state information (SCI) is full available in the base station (BS), we propose a novel linear precoder and a low cost transmitting optimal preprocessing scheme for the MU-MIMO downlink channels. For economic purpose, corresponding to optimal preprocessing, this paper proposes an alternative multi-user antenna selection algorithm which minimizes the bit error rate for each user. In addition, for avoiding residual MUI effect and noise enhancement, we design a decorder to minimize the mean square error (MSE) by an extended ZF approach. Compared with traditional algorithm, the proposed scheme can get good performance, reduces the effect of channel estimation error, and has lower complexity. Simulation results show the performance of the proposed scheme.

[1]  M. Tomlinson.  New automatic equaliser employing modulo arithmetic , 1971 .

[2]  M. J. Gans,et al.  On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas , 1998, Wirel. Pers. Commun..

[3]  Robert H. Halstead,et al.  Matrix Computations , 2011, Encyclopedia of Parallel Computing.

[4]  Shlomo Shamai,et al.  The capacity region of the Gaussian MIMO broadcast channel , 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..

[5]  Ali H. Sayed,et al.  A Leakage-Based Precoding Scheme for Downlink Multi-User MIMO Channels , 2007, IEEE Transactions on Wireless Communications.

[6]  Stephan ten Brink,et al.  A close-to-capacity dirty paper coding scheme , 2004, IEEE Transactions on Information Theory.

[7]  Ross D. Murch,et al.  A transmit preprocessing technique for multiuser MIMO systems using a decomposition approach , 2004, IEEE Transactions on Wireless Communications.

[8]  Shlomo Shamai,et al.  On the achievable throughput of a multiantenna Gaussian broadcast channel , 2003, IEEE Transactions on Information Theory.

[9]  Holger Boche,et al.  Solution of the multiuser downlink beamforming problem with individual SINR constraints , 2004, IEEE Transactions on Vehicular Technology.

[10]  Ali H. Sayed,et al.  A multi user beamforming scheme for downlink MIMO channels based on maximizing signal-to-leakage ratios , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

[11]  Jeffrey G. Andrews,et al.  Multiuser space-time block coded MIMO system with downlink precoding , 2004 .

[12]  Martin Haardt,et al.  Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels , 2004, IEEE Transactions on Signal Processing.

[13]  Jeffrey G. Andrews,et al.  Multiuser Space-Time Block Coded MIMO System with Unitary Downlink Precoding , 2004 .

[14]  Max H. M. Costa,et al.  Writing on dirty paper , 1983, IEEE Trans. Inf. Theory.

[15]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[16]  Khaled Ben Letaief,et al.  Adaptive antennas at the mobile and base stations in an OFDM/TDMA system , 2001, IEEE Trans. Commun..

[17]  K.-D. Kammeyer,et al.  MMSE extension of V-BLAST based on sorted QR decomposition , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).

[18]  H. Miyakawa,et al.  Matched-Transmission Technique for Channels With Intersymbol Interference , 1972, IEEE Trans. Commun..

[19]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[20]  J.M. Cioffi,et al.  On the impact of channel estimation for multiple antenna diversity reception in mobile OFDM systems , 2000, Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154).