An Efficient Approach To Allocating Service In Integrated Cellular Networks

As far as Integrated Cellular networks are concerned, a significant issue that service providers are faced with is with regard to bandwidth (Resource or Service) allocations for different service classes when it pertains to the balancing profit and service quality simultaneously. The challenge increases when there a dynamic competition emanates between the service provider and its users. This paper attempts to addresses this issue coming up with a two-level game framework proposition. Based on the concept of replicator dynamics, the modeling of the underlying dynamic service selection is attempted on the basis of the evolutionary game theory. The modeling of any competition that could arise among various service providers is achieved by formulating an upper bandwidth allocation differential game. In this scenario, the upper differential game’s state would be described based on the underlying evolutionary game distribution of service selection. The solution that results as a result of this linear state differential game is achieved by taking into consideration an open loop Nash equilibrium. As no information broadcasting is required, the model that has been proposed in this paper is in a position to be implemented with the communication cost that happens to be the least. It is also observed that by maximizing the social welfare component, it is possible to modify the selfish behavior that service providers demonstrate.