Iterative power pricing for distributed spectrum coordination in DSL
IEEE Transactions on Communications
Power games in MIMO interference systems
GameNets'09 Proceedings of the First ICST international conference on Game Theory for Networks
Competitive optimization of cognitive radio MIMO systems via game theory
GameNets'09 Proceedings of the First ICST international conference on Game Theory for Networks
Resource allocation games in interference relay channels
GameNets'09 Proceedings of the First ICST international conference on Game Theory for Networks
Robust IWFA for open-spectrum communications
IEEE Transactions on Signal Processing
MIMO cognitive radio: a game theoretical approach
IEEE Transactions on Signal Processing
Spectrum balancing algorithms for power minimization in DSL networks
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
IEEE Transactions on Signal Processing
Competitive spectrum management with incomplete information
IEEE Transactions on Signal Processing
Penalty Methods for the Solution of Generalized Nash Equilibrium Problems
SIAM Journal on Optimization
Partial penalization for the solution of generalized Nash equilibrium problems
Journal of Global Optimization
Power allocation in team jamming games in wireless ad hoc networks
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools
Learning to use the spectrum in self-configuring heterogenous networks: a logit equilibrium approach
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools
Hybrid heuristic-waterfilling game theory approach in MC-CDMA resource allocation
Applied Soft Computing
Nonconvex Games with Side Constraints
SIAM Journal on Optimization
A Radio Resource Management Framework for Multi-User Multi-Cell OFDMA Networks Based on Game Theory
Wireless Personal Communications: An International Journal
| Hi-index | 754.85 |
This paper considers the minimization of transmit power in Gaussian parallel interference channels, subject to a rate constraint for each user. To derive decentralized solutions that do not require any cooperation among the users, we formulate this power control problem as a (generalized) Nash equilibrium (NE) game. We obtain sufficient conditions that guarantee the existence and nonemptiness of the solution set to our problem. Then, to compute the solutions of the game, we propose two distributed algorithms based on the single user water-filling solution: The sequential and the simultaneous iterative water-filling algorithms, wherein the users update their own strategies sequentially and simultaneously, respectively. We derive a unified set of sufficient conditions that guarantee the uniqueness of the solution and global convergence of both algorithms. Our results are applicable to all practical distributed multipoint-to-multipoint interference systems, either wired or wireless, where a quality of service in (QoS) terms of information rate must be guaranteed for each link.