Robust resource allocation for NOMA-assisted heterogeneous networks

• DOI: 10.1016/j.dcan.2021.06.007
• Publication Date: 2021-07-01T05:36:01Z
• Authors: Hao Xie; Yongjun Xu
• Keywords: Macrocell; Robustness; Transmitter power output; Fractional programming

As a promising technology to improve spectrum efficiency and transmission coverage, Heterogeneous Network (HetNet) has attracted the attention of many scholars in recent years. Additionally, with introduction Non-Orthogonal Multiple Access (NOMA) technology, NOMA-assisted HetNet cannot only system capacity but also allow more users utilize same frequency band resource, which makes hot topic. However, traditional resource allocation schemes assume that base stations can exactly estimate direct link gains cross-tier gains, is impractical for practical HetNets due impact channel delays random perturbation. To further energy utilization robustness, this paper, we investigate robust problem maximize total Energy Efficiency (EE) Small-Cell Users (SCUs) under imperfect state information. By considering bounded uncertainties, optimization formulated as mixed-integer nonlinear programming constraints interference power macrocell users, maximum transmit small station, Resource Block (RB) assignment, quality service requirement each SCU. The original converted into an equivalent convex by using Dinkelbach's method successive approximation method. A Dinkelbach-based iteration algorithm designed jointly optimizing RB allocation. Simulation results verify proposed better EE robustness than existing algorithms.