Distributed resource and power allocation for device-to-device communications underlaying cellular network

Abstract

This paper proposes a distributed resource allocation and power control scheme based on stackelberg game framework to improve network capacity in Device-to-Device (D2D) communications networks. D2D users are supported in an underlay mode by sharing radio resources with the cellular downlink communications. The system aims to maximize the number of underlay D2D users while guaranteeing Quality of Service (QoS) of the prioritized cellular users. We formulate the problem through joint optimization on the D2D power control and resource allocation. The global optimization problem is a complicated task to tackle mathematically and has a high computational complexity. Instead we formulate the optimization problem with a distributed stackelberg game theoretical model and decompose it into two steps to approach the game equilibrium. The simulation results show that our proposed distributed algorithm converges very fast and the system capacity of the D2D underlay network is significantly improved.