Resource allocation for device-to-device communications as an underlay using nash bargaining game theory

Abstract

Device-to-device (D2D) communications have recently been considered as promising means to enhance resource utilization of cellular network. In this paper, we investigate joint channel assignment and power allocation to maximize utility of cellular users as well as throughput of every D2D pair, while guaranteeing minimal transmission rate of cellular users from a Nash bargaining theory point of view, which is a strongly NP-hard problem. We decompose it into two subproblems for tractability: channel assignment and power allocation. We firstly regard channel assignment subproblem as matching a cellular user and a D2D pair for unit earning maximization, where exhausted algorithm are applied to. Based on allocated channels, we obtain optimal power allocation of cellular users and D2D links by Lagrangian multiplier method and interference threshold respectively. Simulation results demonstrate that proposed algorithms lead to good performance on system throughput and good adjustment effect on transmission rate of every cellular user.