Lattice basis reduction: improved practical algorithms and solving subset sum problems
Mathematical Programming: Series A and B
Matrix computations (3rd ed.)
Precoding and Signal Shaping for Digital Transmission
Precoding and Signal Shaping for Digital Transmission
Vector perturbation precoding for receivers with limited dynamic range
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Generalized channel inversion methods for multiuser MIMO systems
IEEE Transactions on Communications
Vector perturbation precoding for MIMO broadcast channel with quantized channel feedback
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Improved vector perturbation with modulo loss reduction for multiuser downlink systems
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Active Antenna Selection in Multiuser MIMO Communications
IEEE Transactions on Signal Processing
Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing - Part I
A transmit preprocessing technique for multiuser MIMO systems using a decomposition approach
IEEE Transactions on Wireless Communications
Precoding in multiantenna and multiuser communications
IEEE Transactions on Wireless Communications
Generalized multiuser orthogonal space-division multiplexing
IEEE Transactions on Wireless Communications
Symbol detection in V-BLAST architectures under channel estimation errors
IEEE Transactions on Wireless Communications
A Leakage-Based Precoding Scheme for Downlink Multi-User MIMO Channels
IEEE Transactions on Wireless Communications
Block Diagonalized Vector Perturbation for Multiuser MIMO Systems
IEEE Transactions on Wireless Communications - Part 1
Closest point search in lattices
IEEE Transactions on Information Theory
On the achievable throughput of a multiantenna Gaussian broadcast channel
IEEE Transactions on Information Theory
Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels
IEEE Transactions on Information Theory
The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel
IEEE Transactions on Information Theory
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Vector perturbation (VP) is a prominent precoding technique attracted a lot of attention in recent years. Till now, however, various extended VP techniques are almost restricted to one antenna configuration of each user, termed as multi-user single-stream VP, which contradicts with the multi-antenna terminals of the next generation wireless systems. So, the popular block diagonal (BD) algorithm and VP was naturally combined and proposed to solve this problem. However, the so-called BD-VP completely suppresses multi-user interference at the expense of noise enhancement and results in performance degradation. To overcome the shortcoming of BD-VP, we propose three criteria based multi-user multi-stream VP (MUMS-VP) algorithms with different performance and complexity tradeoffs: zero-forcing expanded channel inversion (ZF ECI)-VP algorithm, minimum-total-mean-square-error criterion (MTMSE) based two MUMS-VP algorithms and maximum signal-to-leakage-and-noise-ratio (MSLNR) criterion based MUMS-VP algorithm. The general expression of achievable rates of MUMS-VP algorithms is derived. Analysis and simulation results show that the proposed ZF MUMS-VP is equivalent to BD-VP, while MTMSE MUMS-VP II has the maximum achievable sum rates among these algorithms. MTMSE MUMS-VP I, II and MSLNR MUMS-VP greatly outperform BD-VP in BER performance for both fixed modulation scenario and adaptive modulation scenario. Furthermore, all proposed algorithms have much lower complexity than BD-VP.