Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Convex Optimization
Conversion of the spatio-temporal correlation from uplink to downlink in FDD systems
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Transmit beamforming for physical-layer multicasting
IEEE Transactions on Signal Processing - Part I
Efficient use of side information in multiple-antenna data transmission over fading channels
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
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We evaluate the performance of beamforming in the downlink of a Single Frequency Network (SFN), in which common data is transmitted to all participating users simultaneously. The beamforming is jointly optimized for all cells in the network and for all users. The algorithm is based on spatio-temporal correlation knowledge (long term channel state information at the transmitter) and regularly updated, but possibly delayed, SNR information. In a first stage of this algorithm an estimator for the current SNR is built as a function of the beamforming weights. In a second stage of the algorithm, the beamforming weights are optimized in order to maximize the minimum SNR in the system.