Bargaining and the MISO interference channel
EURASIP Journal on Advances in Signal Processing - Special issue on game theory in signal processing and communications
The MIMO iterative waterfilling algorithm
IEEE Transactions on Signal Processing
Conjectural equilibrium in multiuser power control games
IEEE Transactions on Signal Processing
Power control game in protected and shared bands: manipulability of Nash equilibrium
GameNets'09 Proceedings of the First ICST international conference on Game Theory for Networks
Bargaining over the interference channel with total power constraints
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
Spectrum sharing games on the interference channel
GameNets'09 Proceedings of the First ICST international conference on Game Theory for Networks
Resource allocation in protected and shared bands: uniqueness and efficiency of Nash equilibria
Proceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools
Monotonic convergence of distributed interference pricing in wireless networks
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 3
Bargaining over fading interference channels
WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
Inter-operator spectrum sharing from a game theoretical perspective
EURASIP Journal on Advances in Signal Processing - Special issue on dynamic spectrum access for wireless networking
MIMO cognitive radio: a game theoretical approach
IEEE Transactions on Signal Processing
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Distributed multicell and multiantenna precoding: characterization and performance evaluation
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Distributed multicell and multiantenna precoding: characterization and performance evaluation
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Distributed interference pricing for the MIMO interference channel
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Nash bargaining over MIMO interference systems
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Coordinated beamforming for the multicell multi-antenna wireless system
IEEE Transactions on Wireless Communications
Monotonic optimization framework for the two-user MISO interference channel
IEEE Transactions on Communications
IEEE Transactions on Signal Processing
Cooperative resource allocation games under spectral mask and total power constraints
IEEE Transactions on Signal Processing
Local interference pricing for distributed beamforming in MIMO networks
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
Multi-cell MIMO cooperative networks: a new look at interference
IEEE Journal on Selected Areas in Communications - Special issue on cooperative communications in MIMO cellular networks
Pricing in noncooperative interference channels for improved energy efficiency
EURASIP Journal on Wireless Communications and Networking - Special issue on interference management in wireless communication systems: theory and applications
Simulation models for the performance evaluation of spectrum sharing techniques in OFDMA networks
Proceedings of the 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
A performance evaluation tool for spectrum sharing in multi-operator LTE networks
Computer Communications
Hi-index | 0.09 |
We consider the problem of coordinating two competing multiple-antenna wireless systems (operators) that operate in the same spectral band. We formulate a rate region which is achievable by scalar coding followed by power allocation and beamforming. We show that all interesting points on the Pareto boundary correspond to transmit strategies where both systems use the maximum available power. We then argue that there is a fundamental need for base station cooperation when performing spectrum sharing with multiple transmit antennas. More precisely, we show that if the systems do not cooperate, there is a unique Nash equilibrium which is inefficient in the sense that the achievable rate is bounded by a constant, regardless of the available transmit power. An extension of this result to the case where the receivers use successive interference cancellation (SIC) is also provided. Next we model the problem of agreeing on beamforming vectors as a non-transferable utility (NTU) cooperative gametheoretic problem, with the two operators as players. Specifically we compute numerically the Nash bargaining solution, which is a likely resolution of the resource conflict assuming that the players are rational. Numerical experiments indicate that selfish but cooperating operators may achieve a performance which is close to the maximum-sum-rate bound.