Improving the DMT performances of MIMO linear receivers
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[1] Giuseppe Caire,et al. On Outage Analysis and Code Design for Correlated MIMO Fading Channels , 2007, 2007 IEEE International Symposium on Information Theory.
[2] Lizhong Zheng,et al. Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels , 2003, IEEE Trans. Inf. Theory.
[3] Robert F. H. Fischer,et al. Low-complexity near-maximum-likelihood detection and precoding for MIMO systems using lattice reduction , 2003, Proceedings 2003 IEEE Information Theory Workshop (Cat. No.03EX674).
[4] Xiaoli Ma,et al. Performance analysis for MIMO systems with lattice-reduction aided linear equalization , 2008, IEEE Transactions on Communications.
[5] 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).
[6] Babak Hassibi,et al. High-rate codes that are linear in space and time , 2002, IEEE Trans. Inf. Theory.
[7] Amir K. Khandani,et al. LLLl lattice-basis reduction achieves the maximum diversity in MIMO systems , 2005, Proceedings. International Symposium on Information Theory, 2005. ISIT 2005..
[8] P. Vijay Kumar,et al. Explicit Space–Time Codes Achieving the Diversity–Multiplexing Gain Tradeoff , 2006, IEEE Transactions on Information Theory.
[9] Giuseppe Caire,et al. Asymptotic Performance of Linear Receivers in MIMO Fading Channels , 2008, IEEE Transactions on Information Theory.
[10] Gregory W. Wornell,et al. Lattice-reduction-aided detectors for MIMO communication systems , 2002, Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE.
[11] P. Elia,et al. Explicit Space–Time Codes Achieving the Diversity–Multiplexing Gain Tradeoff , 2006, IEEE Transactions on Information Theory.
[12] 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).