Matrix analysis
Convex Optimization
Geometric programming for communication systems
Communications and Information Theory
Resource Allocation in Wireless Networks: Theory and Algorithms (Lecture Notes in Computer Science)
Resource Allocation in Wireless Networks: Theory and Algorithms (Lecture Notes in Computer Science)
QoS-aware distributed spectrum sharing for heterogeneous wireless cognitive networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Dynamic resource management for cognitive radios using limited-rate feedback
IEEE Transactions on Signal Processing
Distributed Utility-Based Power Control: Objectives and Algorithms
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Approaches to spectrum sharing
IEEE Communications Magazine
Distributed interference compensation for wireless networks
IEEE Journal on Selected Areas in Communications
A tutorial on decomposition methods for network utility maximization
IEEE Journal on Selected Areas in Communications
A framework for uplink power control in cellular radio systems
IEEE Journal on Selected Areas in Communications
Power control for cognitive radio networks: axioms, algorithms, and analysis
IEEE/ACM Transactions on Networking (TON)
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Dynamic spectrum access (DSA) is an integral part of cognitive radio technology aiming at efficient management of the available power and bandwidth resources. The present paper deals with cooperative DSA networks, where collaborating terminals adhere to diverse (maximum and minimum) quality-of-service (QoS) constraints in order to not only effect hierarchies between primary and secondary users but also prevent abusive utilization of the available spectrum. Peer-to-peer networks with co-channel interference are considered in both single-and multi-channel settings. Utilities that are functions of the signal-to-interference-plus-noise ratio (SINR) are employed as QoS metrics. By adjusting their transmit power, users can mitigate the generated interference and also meet the QoS requirements. A novel formulation accounting for heterogeneous QoS requirements is obtained after introducing a suitable relaxation and recasting a constrained sum-utility maximization as a convex optimization problem. The optimality of the relaxation is established under general conditions. Based on this relaxation, an algorithm for optimal power control that is amenable to distributed implementation is developed, and its convergence is established. Numerical tests verify the analytical claims and demonstrate performance gains relative to existing schemes.