Parallel and Distributed Computation: Numerical Methods
Parallel and Distributed Computation: Numerical Methods
A utility-based power-control scheme in wireless cellular systems
IEEE/ACM Transactions on Networking (TON)
Convex Optimization
Analysis of iterative waterfilling algorithm for multiuser power control in digital subscriber lines
EURASIP Journal on Applied Signal Processing
IEEE Transactions on Signal Processing
Optimal power allocation for relayed transmissions over Rayleigh-fading channels
IEEE Transactions on Wireless Communications
On energy efficiency and optimum resource allocation of relay transmissions in the low-power regime
IEEE Transactions on Wireless Communications
Power Control By Geometric Programming
IEEE Transactions on Wireless Communications
Binary Power Control for Sum Rate Maximization over Multiple Interfering Links
IEEE Transactions on Wireless Communications
Cooperative diversity in wireless networks: Efficient protocols and outage behavior
IEEE Transactions on Information Theory
Crystallization in Large Wireless Networks
IEEE Transactions on Information Theory
Asynchronous Iterative Water-Filling for Gaussian Frequency-Selective Interference Channels
IEEE Transactions on Information Theory
Distributed multiuser power control for digital subscriber lines
IEEE Journal on Selected Areas in Communications
Distributed interference compensation for wireless networks
IEEE Journal on Selected Areas in Communications
Spectrum sharing for unlicensed bands
IEEE Journal on Selected Areas in Communications
A framework for uplink power control in cellular radio systems
IEEE Journal on Selected Areas in Communications
Distributed power allocation in multi-user multi-channel cellular relay networks
IEEE Transactions on Wireless Communications
Randomized power control for two-hop interference channels
IEEE Communications Letters
Wireless Personal Communications: An International Journal
Power Allocation for Amplify-and-Forward Relaying with Correlated Shadowing
Wireless Personal Communications: An International Journal
Hi-index | 0.01 |
This paper considers the multiuser power control problem in Gaussian frequency-flat interference relay channels using a game-theoretic framework. While a lot of attention has been paid to Gaussian interference games, where sufficient conditions for the uniqueness of the Nash equilibrium (NE) have been established, these types of games have not been studied in the context of interference relay channels. We consider here Gaussian interference relay games (GIRGs), where instead of allocating the power budget across a set of sub-channels, each player aims to decide the optimal power control strategy across a set of hops. We show that the GIRG always possesses a unique NE for a two-player version of the game, irrespective of any channel realization or initial system parameters such as power budgets and noise power. Furthermore, we derive explicitly a sufficient condition under which the NE achieves Pareto-optimality. To facilitate decentralized implementation, we propose a distributed and asynchronous algorithm. We also prove that the proposed algorithm always converges to the unique NE from an arbitrary starting point. We then conclude that the distributed game-theoretic approach exhibits great potential in the context of interference relay channels and qualifies as a practically appealing candidate for power control.