Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
Mode switching for the multi-antenna broadcast channel based on delay and channel quantization
EURASIP Journal on Advances in Signal Processing - Multiuser MIMO Transmission with Limited Feedback, Cooperation, and Coordination
Low-complexity unitary preprocessing scheme for limited feedback multiuser MIMO systems
APCC'09 Proceedings of the 15th Asia-Pacific conference on Communications
Block diagonalization in the MIMO broadcast channel with delayed CSIT
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Performance of CSI-based multi-user MIMO for the LTE downlink
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
IEEE Transactions on Signal Processing
A scalable limited feedback design for network MIMO using per-cell product codebook
IEEE Transactions on Wireless Communications
Multimode transmission in network MIMO downlink with incomplete CSI
EURASIP Journal on Advances in Signal Processing - Special issue on cooperative MIMO multicell networks
Decentralized limited-feedback multiuser MIMO for temporally correlated channels
Journal of Electrical and Computer Engineering
Wireless Personal Communications: An International Journal
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Block diagonalization is a linear preceding technique for the multiple antenna broadcast (downlink) channel that involves transmission of multiple data streams to each receiver such that no multi-user interference is experienced at any of the receivers. This low-complexity scheme operates only a few dB away from capacity but requires very accurate channel knowledge at the transmitter. We consider a limited feedback system where each receiver knows its channel perfectly, but the transmitter is only provided with a finite number of channel feedback bits from each receiver. Using a random quantization argument, we quantify the throughput loss due to imperfect channel knowledge as a function of the feedback level. The quality of channel knowledge must improve proportional to the SNR in order to prevent interference-limitations, and we show that scaling the number of feedback bits linearly with the system SNR is sufficient to maintain a bounded rate loss. Finally, we compare our quantization strategy to an analog feedback scheme and show the superiority of quantized feedback.