EURASIP Journal on Applied Signal Processing
Wireless Personal Communications: An International Journal
EURASIP Journal on Advances in Signal Processing
A diversity guarantee and SNR performance for unitary limited feedback MIMO systems
EURASIP Journal on Advances in Signal Processing
Worst-case robust MIMO transmission with imperfect channel knowledge
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Improving MIMO capacity with directive antennas for outdoor-indoor scenarios
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Network beamforming using relays with perfect channel information
IEEE Transactions on Information Theory
A multiuser MIMO transmit beamformer based on the statistics of the signal-to-leakage ratio
EURASIP Journal on Wireless Communications and Networking
A simple codebook design algorithm for MISO channels with channel estimation errors
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
A fast encoding algorithm for a MIMO system with finite-bit feedback
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
The optimization of combined beamforming with space-time block coding
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
On MIMO beamforming systems using quantized feedback
IEEE Transactions on Communications
Blind separation of mutually correlated sources using precoders
IEEE Transactions on Neural Networks
Exploiting channel angular domain information for precoder design in distributed antenna systems
IEEE Transactions on Signal Processing
EURASIP Journal on Advances in Signal Processing
Realistic performance and complexity of multi-antenna wireless communications systems
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Cellular Downlink Performance with Covariance-CSIT-Based MIMO Precoding
Wireless Personal Communications: An International Journal
Hi-index | 754.91 |
Optimal transmitter designs obeying the water-filling principle are well-documented, and widely applied, when the propagation channel is deterministically known and regularly updated at the transmitter. Because channel state information (CSI) may be costly or impossible to acquire in rapidly varying wireless environments, we develop in this paper statistical water-filling approaches for stationary random fading channels. These approaches require only knowledge of the channel correlations that do not necessitate frequent updates, and can be easily acquired. Applied to a multiple transmit-antenna paradigm, our optimal transmitter design turns out to be an eigen-beamformer with multiple beams pointing to orthogonal directions along the eigenvectors of the channel's correlation matrix, and with proper power loading across the beams. The optimality pertains to minimizing a tight bound on the symbol error rate. The resulting loaded eigen-beamforming outperforms not only the equal-power allocation across all antennas, but also the conventional beamformer that transmits the available power along the strongest direction. Coupled with orthogonal space-time block codes, two-dimensional (2-D) eigen-beamforming emerges as a more attractive choice than conventional one-dimensional (1-D) beamforming with uniformly better performance, without rate reduction, and without complexity increase.