Convex Optimization
NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Cognitive Radio Networks: Architectures, Protocols, and Standards
Cognitive Radio Networks: Architectures, Protocols, and Standards
Multiple access channels with arbitrarily correlated sources
IEEE Transactions on Information Theory
A new achievable rate region for the interference channel
IEEE Transactions on Information Theory
Distributed space-time-coded protocols for exploiting cooperative diversity in wireless networks
IEEE Transactions on Information Theory
Asynchronous Iterative Water-Filling for Gaussian Frequency-Selective Interference Channels
IEEE Transactions on Information Theory
Gaussian Interference Channel Capacity to Within One Bit
IEEE Transactions on Information Theory
Distributed multiuser power control for digital subscriber lines
IEEE Journal on Selected Areas in Communications
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
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In this paper, the Shapley value method is introduced to power allocation in cognitive radio (CR) networks. This concept is intended to maximize the information throughput sustained by each link over the network. In the traditional approach, game theory is used as a tool to model the interaction between several players and predict the outcome of the power allocation game. Our solution to this problem determines the participation of the players in the formed coalition of secondary users (SUs) in cognitive radio networks by using the Shapley value. The simulation results show the effectiveness of the proposed power control policy.