Complex lattice reduction algorithm for low-complexity full-diversity MIMO detection
IEEE Transactions on Signal Processing
LR-aided MMSE lattice decoding is DMT optimal for all approximately universal codes
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 2
Low complexity SIC-based MIMO detection with list generation in the LR domain
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Algebraic reduction for the golden code
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
An efficient low-complexity detector for spatially multiplexed MC-CDM
IEEE Transactions on Signal Processing
Augmented lattice reduction for MIMO decoding
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
On the limitations of the naive lattice decoding
IEEE Transactions on Information Theory
User selection criteria for multiuser systems with optimal and suboptimal LR based detectors
IEEE Transactions on Signal Processing
Prevoting cancellation-based detection for underdetermined MIMO systems
EURASIP Journal on Wireless Communications and Networking
Wireless Personal Communications: An International Journal
Hi-index | 754.97 |
Diversity order is an important measure for the performance of communication systems over multiple-input-multiple-output (MIMO) fading channels. In this correspondence, we prove that in MIMO multiple- access systems (or MIMO point-to-point systems with V-BLAST transmission), lattice-reduction-aided decoding achieves the maximum receive diversity (which is equal to the number of receive antennas). Also, we prove that the naive lattice decoding (which discards the out-of-region decoded points) achieves the maximum diversity.