Mean field asymptotics of Markov decision evolutionary games and teams
GameNets'09 Proceedings of the First ICST international conference on Game Theory for Networks
A dynamic random access game with energy constraints
WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
Evolutionary games in wireless networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Constrained cost-coupled stochastic games with independent state processes
Operations Research Letters
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
Evolutionary network formation games and fuzzy coalition in heterogeneous networks
WD'09 Proceedings of the 2nd IFIP conference on Wireless days
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This paper studies dynamic bargaining solutions for opportunistic spectrum access in cognitive radio networks. We compare the bargaining solutions with global optimum and non-cooperative solution in a strategic setting. We examine the cost of bargaining and the benefit of bargaining in the stochastic bargaining opportunistic access game in which each user has its own state those transitions are described as Markov decision processes with local resource states. The states and actions of the users which sense the same channel determine the instantaneous payoffs. They also determine the transition probabilities to move to the next states. We characterize the dynamic bargaining outcomes in short term and in long-term.