This article proposes an optimization framework for power and time resource allocation during time sharing non-orthogonal multiple access (TS-NOMA) transmissions performed by an unmanned aerial vehicle (UAV) in the context of a large-scale scenario. The objective of the proposed UAV-TS-NOMA system and optimization framework is to jointly maximize the energy efficiency (EE) and the downlink throughput fairness among users within the UAV communication range. The idea behind is to propose a communication system that: i) merges the advantages of UAV communications with the ones offered by the TS-NOMA paradigm and ii) maximizes the EE and the downlink fairness among users. The resulting model finds applicability in performing energy efficient and throughput fair transmissions into power-constrained communication scenarios. Performance investigations regarding the proposed framework in finding the optimal set of resources which maximizes jointly the above mentioned network metrics, have shown the advantage of the proposed two-step optimization framework in finding the optimal configuration of both power and time resources, respecting both the power constraints at the transmitter and the quality-of-service requirement of the users. In addition, it is shown how under particular conditions the proposed framework jointly optimizes the aforementioned network metrics in only one step.

中文翻译：

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TS-NOMA 无人机辅助通信的节能和吞吐量公平资源分配

本文提出了一种在大规模场景下由无人机 (UAV) 执行的分时非正交多址 (TS-NOMA) 传输期间功率和时间资源分配的优化框架。所提出的 UAV-TS-NOMA 系统和优化框架的目标是联合最大化无人机通信范围内用户之间的能量效率 (EE) 和下行链路吞吐量公平性。背后的想法是提出一种通信系统：i) 将无人机通信的优势与 TS-NOMA 范式提供的优势相结合，以及 ii) 最大化用户之间的 EE 和下行链路公平性。由此产生的模型适用于在功率受限的通信场景中执行节能和吞吐量公平传输。关于所提出的框架在寻找联合最大化上述网络指标的最佳资源集方面的性能调查显示了所提出的两步优化框架在寻找功率和时间资源的最佳配置方面的优势，同时尊重功率发射机的限制和用户的服务质量要求。此外，还展示了在特定条件下，所提出的框架如何仅一步联合优化上述网络指标。尊重发射机的功率限制和用户的服务质量要求。此外，还展示了在特定条件下，所提出的框架如何仅一步联合优化上述网络指标。尊重发射机的功率限制和用户的服务质量要求。此外，还展示了在特定条件下，所提出的框架如何仅一步联合优化上述网络指标。