A New Efficient Group-Wise Spatial Multiplexing Design for Closed-Loop MIMO Systems

This paper introduces a new efficient design scheme for spatial multiplexing (SM) systems over closed loop multiple- input multiple-output (MIMO) wireless channels. Extending the orthogonalized spatial multiplexing (OSM) scheme which was developed recently for transmitting two data streams, we propose a new SM scheme where a larger number of data streams can be supported. To achieve this goal, we partition the data streams into several subblocks and execute the block-diagonalization process at the receiver. The proposed scheme still guarantees single- symbol maximum likelihood (ML) detection with small feedback information. Simulation results verify that the proposed scheme achieves a huge performance gain at a bit error rate (BER) of 10-4 over conventional closed-loop schemes based on minimum mean-square error (MSE) or bit error rate (BER) criterion. We also show that an additional 2.5 dB gain can be obtained by optimizing the group selection with extra feedback information.

[1]  Rohit U. Nabar,et al.  Introduction to Space-Time Wireless Communications , 2003 .

[2]  S. Park,et al.  Orthogonalized Spatial Multiplexing for Closed-Loop MIMO Systems , 2007, IEEE Transactions on Communications.

[3]  Inkyu Lee,et al.  Optimal Precoding for Orthogonalized Spatial Multiplexing in MIMO Wireless Systems , 2008, 2008 IEEE International Conference on Communications.

[4]  Anna Scaglione,et al.  Optimal designs for space-time linear precoders and decoders , 2002, IEEE Trans. Signal Process..

[5]  Ross D. Murch,et al.  Performance analysis of maximum likelihood detection in a MIMO antenna system , 2002, IEEE Trans. Commun..

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

[7]  Anna Scaglione,et al.  Redundant filterbank precoders and equalizers-part I , 1998 .

[8]  Angel E. Lozano,et al.  Reduced-complexity detection algorithms for systems using multi-element arrays , 2000, Globecom '00 - IEEE. Global Telecommunications Conference. Conference Record (Cat. No.00CH37137).

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

[10]  Mahesh K. Varariasi Group Detection for Synchronous Gaussian Code-Division Multiple-Access Channels , 1995 .

[11]  Petre Stoica,et al.  Generalized linear precoder and decoder design for MIMO channels using the weighted MMSE criterion , 2001, IEEE Trans. Commun..

[12]  Gerard J. Foschini,et al.  Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas , 1996, Bell Labs Technical Journal.

[13]  Inkyu Lee,et al.  New Approach for Error Compensation in Coded V-BLAST OFDM Systems , 2007, IEEE Transactions on Communications.

[14]  John M. Cioffi,et al.  Joint Tx-Rx beamforming design for multicarrier MIMO channels: a unified framework for convex optimization , 2003, IEEE Trans. Signal Process..