Matrix computations (3rd ed.)
Fast reliable algorithms for matrices with structure
Fast reliable algorithms for matrices with structure
Adaptive downlink multi-user MIMO wireless systems for correlated channels with imperfect CSI
IEEE Transactions on Wireless Communications
A Leakage-Based Precoding Scheme for Downlink Multi-User MIMO Channels
IEEE Transactions on Wireless Communications
Optimal Lattice-Reduction Aided Successive Interference Cancellation for MIMO Systems
IEEE Transactions on Wireless Communications
Generalizing discriminant analysis using the generalized singular value decomposition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fading correlations in wireless MIMO communication systems
IEEE Journal on Selected Areas in Communications
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We present a lattice reduction (LR) aided successive interference cancellation (SIC) scheme combined with linear pre-equalization in the correlated multi-user MIMO system. The LR-aided SIC schemes have been extensively studied to detect multiple users' symbols due to the nearly optimal performance. However, the LR algorithm and the sequential detecting method inherently incur considerable computational complexity overhead although it is of a polynomial order. To reduce their computational complexities, we decouple the entire system into multiple lower dimensional subsystems using linear pre-equalization based on the correlation among the users. We then utilize the LR-aided SIC parallel in each subsystem. Furthermore, to combine the LR-aided SIC with pre-equalization optimally, we modify the LR-aided SIC scheme, handling the residual interferences after pre-equalization.