Near-capacity MIMO Subspace Detection

This paper presents a low complexity detection algorithm for Multiple-Input Multiple-Output (MIMO) systems. The novel subspace approach involves QR Decomposition (QRD) or Cholesky decomposition to triangularize the effective channel matrix so that several (possibly overlapping) groups of data streams can be detected separately. Link layer simulations show that the ergodic MIMO capacity can be closely approached by exploiting an Overlapped Subspace Detection (OSD) strategy. The OSD algorithm offers a scalable performance/complexity trade-off between Zero-Forcing (ZF) and Maximum a posteriori Probability (APP) detection. The proposed algorithm can be straightforwardly applied to large MIMO systems, as prevalent with recent advances in the field such as network MIMO and Coordinated Multi-Point (CoMP) transmission and reception.

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

[2]  Matthew R. McKay,et al.  Capacity and performance of MIMO-BICM with zero-forcing receivers , 2005, IEEE Transactions on Communications.

[3]  E. Larsson,et al.  MIMO Detection Methods: How They Work , 2010 .

[4]  Stephan ten Brink,et al.  Achieving near-capacity on a multiple-antenna channel , 2003, IEEE Trans. Commun..

[5]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[6]  B. Sundar Rajan,et al.  High-Rate Space–Time Coded Large-MIMO Systems: Low-Complexity Detection and Channel Estimation , 2008, IEEE Journal of Selected Topics in Signal Processing.

[7]  Lutz H.-J. Lampe,et al.  A performance study of MIMO detectors , 2006, IEEE Transactions on Wireless Communications.

[8]  Tharmalingam Ratnarajah,et al.  A low-complexity soft-MIMO detector based on the fixed-complexity sphere decoder , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[9]  Ari Hottinen,et al.  Increasing downlink cellular throughput with limited network MIMO coordination , 2009, IEEE Transactions on Wireless Communications.

[10]  Siavash M. Alamouti,et al.  A simple transmit diversity technique for wireless communications , 1998, IEEE J. Sel. Areas Commun..

[11]  Gerald Matz,et al.  An efficient MMSE-based demodulator for MIMO bit-interleaved coded modulation , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

[12]  Erik G. Larsson,et al.  Fixed-Complexity Soft MIMO Detection via Partial Marginalization , 2008, IEEE Transactions on Signal Processing.

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

[14]  Yuhong Yang.  Elements of Information Theory (2nd ed.). Thomas M. Cover and Joy A. Thomas , 2008 .

[15]  E.G. Larsson,et al.  MIMO Detection Methods: How They Work [Lecture Notes] , 2009, IEEE Signal Processing Magazine.

[16]  Rui Chang,et al.  Interference coordination and cancellation for 4G networks , 2009, IEEE Communications Magazine.

[17]  Nambi Seshadri,et al.  Subspace beamforming for near-capacity MIMO performance , 2008 .