Channel capacity maximization in cooperative cognitive radio networks using game theory
ACM SIGMOBILE Mobile Computing and Communications Review
On oligopoly spectrum allocation game in cognitive radio networks with capacity constraints
Computer Networks: The International Journal of Computer and Telecommunications Networking
Distributed spectrum sharing in cognitive radio networks- game theoretical view
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
Auction-based spectrum sharing for multiple primary and secondary users in cognitive radio networks
Sarnoff'10 Proceedings of the 33rd IEEE conference on Sarnoff
Game theory for cognitive radio networks: An overview
Computer Networks: The International Journal of Computer and Telecommunications Networking
Cooperative resource allocation games under spectral mask and total power constraints
IEEE Transactions on Signal Processing
A survey on game theory applications in wireless networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Cross-layer design in dynamic spectrum sharing systems
EURASIP Journal on Wireless Communications and Networking - Special issue on adaptive cross-layer strategies for fourth generation wireless communications
Economic Approaches for Cognitive Radio Networks: A Survey
Wireless Personal Communications: An International Journal
Non-cooperative spectrum access in cognitive radio networks: A game theoretical model
Computer Networks: The International Journal of Computer and Telecommunications Networking
Controlling chaotic oscillations in user-centric cognitive radio networks
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part III
RAC: Range Adaptive Cognitive Radio Networks
Computer Standards & Interfaces
Spatial spectrum access game: nash equilibria and distributed learning
Proceedings of the thirteenth ACM international symposium on Mobile Ad Hoc Networking and Computing
Chaotic oscillations in user-centric cognitive radio networks and their control
International Journal of Knowledge and Web Intelligence
International Journal of Network Management
Behavior modeling for spectrum sharing in wireless cognitive networks
Wireless Networks
Optimizing spectrum trading in cognitive mesh network using machine learning
Journal of Electrical and Computer Engineering - Special issue on Resource Allocation in Communications and Computing
Wireless Personal Communications: An International Journal
Spectrum Sharing in Competing Wireless Systems: A Simulation Study Using WLAN and WMAN
Journal of Network and Systems Management
Wireless Personal Communications: An International Journal
Spectrum sharing optimization with QoS guarantee in cognitive radio networks
Computers and Electrical Engineering
Wireless Personal Communications: An International Journal
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"Cognitive radio" is an emerging technique to improve the utilization of radio frequency spectrum in wireless networks. In this paper, we consider the problem of spectrum sharing among a primary user and multiple secondary users. We formulate this problem as an oligopoly market competition and use a noncooperative game to obtain the spectrum allocation for secondary users. Nash equilibrium is considered as the solution of this game. We first present the formulation of a static game for the case where all secondary users have the current information of the adopted strategies and the payoff of each other. However, this assumption may not be realistic in some cognitive radio systems. Therefore, we consider the case of bounded rationality in which the secondary users gradually and iteratively adjust their strategies based on the observations on their previous strategies. The speed of adjustment of the strategies is controlled by the learning rate. The stability condition of the dynamic behavior for this spectrum sharing scheme is investigated. The numerical results reveal the dynamics of distributed dynamic adaptation of spectrum sharing strategies.