Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Practical Optimization Methods: With Mathematica Applications
Practical Optimization Methods: With Mathematica Applications
Optimal and distributed protocols for cross-layer design of physical and transport layers in MANETs
IEEE/ACM Transactions on Networking (TON)
MAPEL: achieving global optimality for a non-convex wireless power control problem
IEEE Transactions on Wireless Communications
SCALE: a low-complexity distributed protocol for spectrum balancing in multiuser DSL networks
IEEE Transactions on Information Theory
Convex primal decomposition for multicarrier linear MIMO transceivers
IEEE Transactions on Signal Processing
Network coordination for spectrally efficient communications in cellular systems
IEEE Wireless Communications
Downlink capacity of interference-limited MIMO systems with joint detection
IEEE Transactions on Wireless Communications
Uplink Power Control in Multi-Cell Spatial Multiplexing Wireless Systems
IEEE Transactions on Wireless Communications
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We consider the problem of setting the uplink signal-to-noise-and-interference (SINR) target and allocating transmit powers for mobile stations in multicell spatial multiplexing wireless systems. Our aim is twofold: to evaluate the potential of such mechanisms in coordinated multipoint transmission (CoMP) systems, and to develop scalable numerical schemes that allow real-time near-optimal resource allocation across multiple sites. We formulate two versions of the SINR target and power allocation problem: one for maximizing the sum rate subject to power constraints, and one for minimizing the total power needed to meet a sum-rate target. To evaluate the potential of our approach, we perform a semi-analytical study in Mathematica using the augmented Lagrangian penalty function method. We find that the gain of the joint optimum SINR setting and power allocation may be significant depending on the degree of fairness that we impose. We develop a numerical technique, based on successive convexification, for real-time optimization of SINR targets and transmit powers. We benchmark our procedure against the globally optimal solution, and demonstrate consistently strong performance in realistic CoMP scenarios.