Decentralized Interference Mitigation Technique for D2D Networks Using Game Theory Optimization

Abstract

Device-to-Device (D2D) Communication has proven to bring various advantages for conventional cellular networks such as high spectral efficiency, lower delay, and high data rate. D2D enables new applications like content-sharing and disaster management. These benefits come at the expense of interlayer and intralayer interference. To fully exploit the inherent benefits of D2D communication, interference mitigation techniques must be developed. This article proposes a decentralized approach to handling interlayer and intralayer interferences. We use the pricing concept, which is introduced by the Base Station (BS) to control the inter-layer interference. On the other hand, game theory is exploited to handle intralayer interference. D2D pairs compete for the resources based on their power profiles and the price broadcasted by the BS. These users and the BS formulate a Stackelberg Game which continues until an optimal state known as Nash Equilibrium is achieved. The most important aspect of the proposed scheme is that it jointly addresses the interference mitigation and power allocation problem.