International Journal of Engineering and Applied Sciences (IJEAS)

Abstract— This paper, considers a marketed small-cell caching system comprising of a Network Service Provider (NSP), a number of Video Retailers (VR), and Mobile Users (MU). The NSP rents its SBSs to the VRs intending benefits. Stackelberg game framework is used for addressing the SBSs as a particular type of resources. The MUs and SBSs as autonomous Poisson Point Processes (PPP) are used to develop the probability of the particular event that an MU receives video of its alternative straight from the memory of an SBS through stochastic geometry theory. Furthermore, a Stackelberg game is developed to maximize the average benefit of the NSP and the VRs. We look into the Stackelberg game balance by solving a non-convex optimization job. Therefore, based on game theoretic framework, we split light on the four important factors with respect to their relationship: Optimal pricing of renting an SBS, SBSs allocation among the VRs, Caching size of the SBSs, and the quality dispersion of the VRs. Monte-Carlo simulation show that our stochastic geometry-based analytical results, nearly match the empirical results. Mathematical results are also plied for measuring the intended game-theoretic framework through demonstrating its efficiency on pricing and resource assignation.