Feedback reduction in uplink MIMO OFDM systems by chunk optimization
EURASIP Journal on Advances in Signal Processing
Rate balancing in multiuser MIMO OFDM systems
IEEE Transactions on Communications
Fair-rate allocation in multiuser OFDM-SDMA networks
IEEE Transactions on Signal Processing
Weighted sum rate optimization for cognitive radio MIMO broadcast channels
IEEE Transactions on Wireless Communications
Channel state feedback schemes for multiuser MIMO-OFDM downlink
IEEE Transactions on Communications
Cognitive multiple access channels: optimal power allocation for weighted sum rate maximization
IEEE Transactions on Communications
Efficient linear precoding in downlink cooperative cellular networks with soft interference nulling
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Weighted sum-rate maximization using weighted MMSE for MIMO-BC beamforming design
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
A user grouping method for maximum weighted sum capacity gain
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
The geometry of the MIMO broadcast channel rate region under linear filtering at high SNR
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Efficient weighted sum rate maximization with linear precoding
IEEE Transactions on Signal Processing
Linear precoding in cooperative MIMO cellular networks with limited coordination clusters
IEEE Journal on Selected Areas in Communications - Special issue on cooperative communications in MIMO cellular networks
EURASIP Journal on Wireless Communications and Networking
Efficient maximum weighted sum-rate computation for multiple input single output broadcast channels
WASA'11 Proceedings of the 6th international conference on Wireless algorithms, systems, and applications
WASA'11 Proceedings of the 6th international conference on Wireless algorithms, systems, and applications
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We consider the maximization of weighted rate sum in Gaussian multiple-input-multiple-output broadcast channels. This problem is motivated by optimal adaptive resource allocation policies in wireless systems with multiple antenna at the base station. In fact, under random packet arrival and transmission queues, the system stability region is achieved by maximizing a weighted rate sum with suitable weights that depend on the queue buffer sizes. Our algorithm is a generalization of the well-known Iterative Multiuser Water-Filling that maximizes the rate sum under a total transmit power constraint and inherits from the latter its simplicity. We propose also a variation on the basic algorithm that makes convergence speed very fast and essentially independent of the number of users