Dynamic bargaining solutions for opportunistic spectrum access

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.