Energy-Efficient Resource Allocation for Adaptive NOMA assisted UAV Communications Network

In order to handle the issue of communications infrastructure destruction or deficiency, communications technologies are urgently required to quickly restore the communications service in the target areas. Considering the advantages of flexible deployment and relatively low cost, the unmanned aerial vehicle (UAV) equipped with a mobile base station constitutes a promising candidate to the communication system. However, due to the limited resources of UAV platform, the efficient massive access becomes the main challenge. To solve this intractable problem, in this paper, an adaptive NOMA assisted UAV communications network is conceived, where the multi-users access is dynamically adapted to their quality of service. For the sake of attaining the energy efficiency, a joint user scheduling, power allocation and trajectory design (JUS-PA-TD) algorithm is proposed, which is capable of jointly deciding user scheduling, power allocation and trajectory design. Our numerous simulation results demonstrate the superiority of the proposed scheme in terms of energy efficiency and coverage capacity, compared to that of the orthogonal multiple access (OMA) scheme and other typical counterparts.