Some Notes on Alternating Optimization
AFSS '02 Proceedings of the 2002 AFSS International Conference on Fuzzy Systems. Calcutta: Advances in Soft Computing
Convex Optimization
Digital Communication: Third Edition
Digital Communication: Third Edition
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
Fundamentals of wireless communication
Fundamentals of wireless communication
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Limits of multi-user MIMO systems using scheduling and rate feedback
Signal Processing
Majorization and matrix-monotone functions in wireless communications
Foundations and Trends in Communications and Information Theory
Precoding Schemes for the MIMO-GBC
IZS '06 Proceedings of the 2006 International Zurich Seminar on Communications
Capacity of a multiple-antenna fading channel with a quantized precoding matrix
IEEE Transactions on Information Theory
Transmit Optimization for MIMO-OFDM With Delay-Constrained and No-Delay-Constrained Traffic
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
The optimality of beamforming in uplink multiuser wireless systems
IEEE Transactions on Wireless Communications
Transmitter optimization and optimality of beamforming for multiple antenna systems
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Sum capacity of the vector Gaussian broadcast channel and uplink-downlink duality
IEEE Transactions on Information Theory
On the capacity of multiuser wireless channels with multiple antennas
IEEE Transactions on Information Theory
Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels
IEEE Transactions on Information Theory
Grassmannian beamforming for multiple-input multiple-output wireless systems
IEEE Transactions on Information Theory
Iterative water-filling for Gaussian vector multiple-access channels
IEEE Transactions on Information Theory
Quantized feedback information in orthogonal space-time block coding
IEEE Transactions on Information Theory
MIMO Broadcast Channels With Finite-Rate Feedback
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
What is the value of limited feedback for MIMO channels?
IEEE Communications Magazine
A stochastic MIMO radio channel model with experimental validation
IEEE Journal on Selected Areas in Communications
Capacity limits of MIMO channels
IEEE Journal on Selected Areas in Communications
Queue proportional scheduling via geometric programming in fading broadcast channels
IEEE Journal on Selected Areas in Communications
An iterative water-filling algorithm for maximum weighted sum-rate of Gaussian MIMO-BC
IEEE Journal on Selected Areas in Communications
How much feedback is required for TDD multi-antenna broadcast channels with user selection?
EURASIP Journal on Advances in Signal Processing
Computer Networks: The International Journal of Computer and Telecommunications Networking
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The performance of multiuser MIMO systems can be significantly increased by channel-aware scheduling and signal processing at the transmitters based on channel state information. In the multipleantenna uplink multicarrier scenario, the base station decides centrally on the optimal signal processing and spectral power allocation as well as scheduling. An interesting challenge is the reduction of the overhead in order to inform the mobiles about their transmit strategies. In this work, we propose to reduce the feedback by chunk processing and quantization. We maximize the weighted sum rate of a MIMO OFDM MAC under individual power constraints and chunk size constraints. An efficient iterative algorithm is developed and convergence is proved. The feed-back overhead as a function of the chunk size is considered in the rate computation and the optimal chunk size is determined by numerical simulations for various channel models. Finally, the issues of finite modulation and coding schemes as well as quantization of the precoding matrices are addressed.