Adaptive channel allocation spectrum etiquette for cognitive radio networks
Mobile Networks and Applications
A stackelberg game for power control and channel allocation in cognitive radio networks
Proceedings of the 2nd international conference on Performance evaluation methodologies and tools
Discrete time dynamic multi-leader-follower games with feedback perfect information
International Journal of Systems Science
Adaptive online bandwidth allocation and reservation for QoS sensitive multimedia networks
Computer Communications
On spectrum selection games in cognitive radio networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Spectrum sharing in cognitive radio networks with imperfect sensing: A discrete-time Markov model
Computer Networks: The International Journal of Computer and Telecommunications Networking
Framework for resource allocation in heterogeneous wireless networks using game theory
Proceedings of the Third international EURO-NGI network of excellence conference on Wireless systems and mobility in next generation internet
Using game theory to analyze wireless ad hoc networks
IEEE Communications Surveys & Tutorials
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Radio spectrum is one of the most scarce and variable resources for wireless communications. Therefore, the proliferation of devices and rapid growth of wireless services continue to strain the limited radio spectrum resource. Cognitive Radio (CR) paradigm is a promising technology to solve the problem of spectrum scarcity. In this paper, a new fair-efficient spectrum sharing scheme is proposed for cognitive radio networks. Based on the multiple-leader multiple-follower Stackelberg game model, the proposed scheme increases opportunistic use of the licensed radio spectrum. To adaptively use the spectrum resource, control decisions are coupled with one another; the result of the each user's decisions is the input back to the other user's decision process. Under widely diverse network environments, this adaptive feedback process approach can provide an effective way of finding a suitable solution. The simulation results demonstrate that the proposed scheme has excellent network performance, while other schemes cannot offer such an attractive performance balance.