A Game-Theoretic Approach of Resource Allocation in NOMA-Based Fog Radio Access Networks

Abstract

Resource allocation in fog radio access networks (F- RANs) is a hot topic but with challenges, especially combined with non-orthogonal multiple access (NOMA) technique which is promised to enhance spectral efficiency (SE). In NOMA-based F-RANs, radio subchannels occupied by remote radio heads (RRHs) can be reused by fog access points (F-APs) and power domain NOMA technique is applied for the link from F-APs to fog user equipments (FUEs). In this paper, an energy efficiency (EE) maximization problem consisting of subchannel reuse assignment and NOMA-based power allocation is formulated for NOMA-based F-RANs. To solve it efficiently, the problem is modeled as a Stackelberg game and two game-theoretic algorithms are developed for two sub-problems, respectively. In particular, The subchannel reuse assignment is modeled as a one-to-many matching game and the power allocation is modeled as a non-cooperative game. The low complexity of proposed algorithms make the problem tractable and fast to converge to the Nash equilibrium (NE). Simulation results show that the proposed algorithms achieve the significant performance gains on system EE, users' latency with an accurate and low complexity way compared to other baselines.