An approach to optimum joint beamforming design in a MIMO-OFDM multiuser system
EURASIP Journal on Wireless Communications and Networking - Special issue on multiuser MIMO networks
DSP Implementation of Antenna Array Algorithms for OFDM-Based Wireless LAN
Wireless Personal Communications: An International Journal
Cross-layer design of FDD-OFDM systems based on ACK/NAK feedbacks
IEEE Transactions on Information Theory
SER analysis and power allocation of OSTBC-OFDM with channel estimation error
ISWPC'09 Proceedings of the 4th international conference on Wireless pervasive computing
A Ka band multi-satellites wimax system
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 3
IEEE Transactions on Communications
Performance evaluation of capacity-aware MIMO beamforming schemes in OFDM-SDMA systems
IEEE Transactions on Communications
A fast power allocation strategy for OFDM systems
IEEE Transactions on Communications
IEEE Transactions on Signal Processing
Differential feedback of MIMO channel gram matrices based on geodesic curves
IEEE Transactions on Wireless Communications
Resource allocation algorithm for multi-user MIMO-OFDM systems for high throughput WLAN
International Journal of Mobile Network Design and Innovation
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Orthogonal frequency division multiplexing (OFDM) has been recently established for several systems such as HiperLAN/2 and Digital video/audio broadcasting, due the easy implementation of the modulator/demodulator and the equalizer. Moreover, also increasing interest is currently being put on multiple-input multiple-output (MIMO) channels, based on the use of antenna arrays at both the transmitter and the receiver. Here, we propose two joint beamforming strategies of low computational load for systems combining OFDM and MIMO. The ultimate objective is the maximization of the signal-to-noise and interference ratio (SNIR) over the carriers subject to a total transmit power constraint. Specifically, the maximization of the harmonic SNIR mean and the minimum SNIR over the subcarriers are proposed. The asymptotic behavior of the proposed methods is analyzed to provide a complete comparative and general view of the most relevant and already known transmit power allocation strategies. Finally, a theoretical analysis of the performance degradation of these techniques is carried out for the case in which the channel state information (CSI) is not perfect. Monte Carlo simulation results for the system bit-error rate and performance degradation with imperfect CSI are provided.