QoS-based resource allocation and transceiver optimization
Communications and Information Theory
A characterization of max-min SIR-balanced power allocation with applications
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
Perron-root minimization for interference-coupled systems with adaptive receive strategies
IEEE Transactions on Communications
Power allocation in MMSE relaying over frequency-selective Rayleigh fading channels
IEEE Transactions on Communications
Feasible load regions for different RRM strategies for the enhanced uplink in UMTS networks
Proceedings of the Third international EURO-NGI network of excellence conference on Wireless systems and mobility in next generation internet
On distributed power control and transceiver optimization in wireless networks
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools
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We address the problem of jointly optimizing transmit powers and linear preequalizers (e.g., beamformers) for a multiuser downlink channel. All results can be transferred to the dual uplink channel. The link quality of each user is determined by the signal-to-interference ratio (SIR). Two common strategies for distributing the system resources by joint optimization of transmit powers and beamformers are: 1) maximize the minimum SIR, to which we refer as max-min fairness, and 2) minimize the sum of weighted inverse SIR. Both strategies are generally not equivalent. In this paper, it is shown how the weighting factors should be chosen so that the sum optimization approach achieves optimal max-min fairness. An efficient iterative algorithm is proposed for solving this nonlinear optimization problem. Monotonicity and convergence are proved.