Dynamic Network Service Selection in IRS-Assisted Wireless Networks: A Game Theory Approach

Abstract

In this article, we investigate the dynamic network service provider (SP) and service selection in a user-centric network. Here, the network services are different combinations of network resources. In particular, we consider an intelligent reflecting surface (IRS)-assisted wireless network in which mobile users select different network resources, i.e., transmit power and IRS resources, provided by different SPs. To analyze the SP and service selection of the users, we propose to use an evolutionary game. In the game, the users (players) adjust their selections of the SPs and services based on their utilities. We model the SP and service adaptation of the users by the replicator dynamics and analyze the equilibrium of the evolutionary game. Extensive simulations are provided to demonstrate the consistency and effectiveness of the proposed game approach.