Base station transmitting antenna arrays for multipath environments
Signal Processing
Multiuser Detection
Radio Resource Management for Wireless Networks
Radio Resource Management for Wireless Networks
Comparison of ℓ∞-norm and ℓ1-norm optimization criteria for SIR-balanced multi-user beamforming
Signal Processing - Special issue on independent components analysis and beyond
Linear precoding via conic optimization for fixed MIMO receivers
IEEE Transactions on Signal Processing
On the Structure of the Multiuser QoS Region
IEEE Transactions on Signal Processing - Part I
Log-convexity of the minimum total power in CDMA systems with certain quality-of-service guaranteed
IEEE Transactions on Information Theory
IEEE Journal on Selected Areas in Communications
A framework for uplink power control in cellular radio systems
IEEE Journal on Selected Areas in Communications
Unifying view on min-max fairness, max-min fairness, and utility optimization incellular networks
EURASIP Journal on Wireless Communications and Networking
Non-linear transceiver designs with imperfect CSIT using convex optimization
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Perron-root minimization for interference-coupled systems with adaptive receive strategies
IEEE Transactions on Communications
Robust THP transceiver designs for multiuser MIMO downlink with imperfect CSIT
EURASIP Journal on Advances in Signal Processing - Multiuser MIMO Transmission with Limited Feedback, Cooperation, and Coordination
An autonomous power control for achieving the maximum uniform SIR in wireless networks
IEEE Communications Letters
A complete description of the QoS feasibility region in the vector broadcast channel
IEEE Transactions on Signal Processing
Utility-based power control with QoS support
Wireless Networks
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We study the problem of maximizing the minimum signal-to-interference ratio (SIR) in a multiuser system with an adaptive receive strategy. The interference of each user is modelled by an axiomatic framework, which reflects the interaction between the propagation channel, the power allocation, and the receive strategy used for interference mitigation. Assuming that there is a one-to-one mapping between the QoS and the signal-to-interference ratio (SIR), the feasible QoS region is completely characterized by the max-min SIR balancing problem. In the first part of the paper, we derive fundamental properties of this problem for the most general case, when interference is modelled with an axiomatic framework. In the second part, we show more specific properties for interference functions based on a nonnegative coupling matrix. The principal aim of this paper is to provide a deeper understanding of the interaction between power allocation and interference mitigation strategies. We show how the proposed axiomatic approach is related to the matrix-based theory.