Parallel and distributed computation: numerical methods
Parallel and distributed computation: numerical methods
Iterative solution of nonlinear equations in several variables
Iterative solution of nonlinear equations in several variables
Matrix analysis and applied linear algebra
Matrix analysis and applied linear algebra
Fair end-to-end window-based congestion control
IEEE/ACM Transactions on Networking (TON)
IEEE/ACM Transactions on Networking (TON)
Multiuser Detection
A utility-based power-control scheme in wireless cellular systems
IEEE/ACM Transactions on Networking (TON)
A Nash game algorithm for SIR-based power control in 3G wireless CDMA networks
IEEE/ACM Transactions on Networking (TON)
QoS-based resource allocation and transceiver optimization
Communications and Information Theory
Distributed uplink power control for optimal sir assignment in cellular data networks
IEEE/ACM Transactions on Networking (TON)
Fundamentals of Resource Allocation in Wireless Networks: Theory and Algorithms
Fundamentals of Resource Allocation in Wireless Networks: Theory and Algorithms
Linear precoding via conic optimization for fixed MIMO receivers
IEEE Transactions on Signal Processing
Distributed Utility-Based Power Control: Objectives and Algorithms
IEEE Transactions on Signal Processing
Distributed Algorithms for Joint Optimization of Multiuser Receivers and Power Control
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
Standard and quasi-standard stochastic power control algorithms
IEEE Transactions on Information Theory
Blind adaptive multiuser detection
IEEE Transactions on Information Theory
IEEE Journal on Selected Areas in Communications
Distributed interference compensation for wireless networks
IEEE Journal on Selected Areas in Communications
A framework for uplink power control in cellular radio systems
IEEE Journal on Selected Areas in Communications
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This paper addresses the problem of joint resource allocation in general wireless networks and its practical implementation aspects. The objective is to allocate transmit powers and receive beamformers to the users in order to maximize a network-wide utility that represents the attained QoS and is a function of the signal-to-interference ratios. This problem is much more intricate than the corresponding QoS-based power control problem. In particular, it is not known which class of utility functions allows for a convex formulation of this problem. In case of perfect synchronization, the joint power and receiver control problem can be reformulated as a power control problem under optimal receivers. Standard gradient projection methods can be applied to solve this problem. However, these algorithms are not applicable in decentralized wireless networks. Therefore, we decompose the problem and propose a convergent alternate optimization that is amenable to distributed implementation. In addition, in real-world networks noisy measurements and estimations occur. Thus, the proposed algorithm has to be investigated in the framework of stochastic approximation. We discuss practical implementation aspects of the proposed stochastic algorithm and investigate its convergence properties by simulations.