Complexity Reduced Lattice-Reduction-Aided MIMO Receiver with Virtual Channel Detection

[1]  Geoffrey Ye Li,et al.  Broadband MIMO-OFDM wireless communications , 2004, Proceedings of the IEEE.

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

[3]  R. V. Nee,et al.  Maximum likelihood decoding in a space division multiplexing system , 2000, VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026).

[4]  Gregory W. Wornell,et al.  Lattice-reduction-aided detectors for MIMO communication systems , 2002, Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE.

[5]  László Lovász,et al.  Factoring polynomials with rational coefficients , 1982 .

[6]  Toshihiko Nishimura,et al.  High data-rate transmission with eigenbeam-space division multiplexing (E-SDM) in a MIMO channel , 2002, Proceedings IEEE 56th Vehicular Technology Conference.

[7]  W. van Etten,et al.  Maximum Likelihood Receiver for Multiple Channel Transmission Systems , 1976, IEEE Trans. Commun..

[8]  Daisuke Umehara,et al.  A Virtual Layered Space-Frequency Receiver Architecture with Iterative Decoding , 2011, IEICE Trans. Commun..

[9]  Reinaldo A. Valenzuela,et al.  V-BLAST: an architecture for realizing very high data rates over the rich-scattering wireless channel , 1998, 1998 URSI International Symposium on Signals, Systems, and Electronics. Conference Proceedings (Cat. No.98EX167).

[10]  Wai Ho Mow,et al.  Dual-Lattice Ordering and Partial Lattice Reduction for SIC-Based MIMO Detection , 2009, IEEE Journal of Selected Topics in Signal Processing.

[11]  Dirk Wübben,et al.  Near-maximum-likelihood detection of MIMO systems using MMSE-based lattice reduction , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).