This study proposes an integrated system that combines energy harvesting (EH) enabled unmanned aerial vehicles (UAVs) with non-orthogonal multiple access (NOMA) to enhance communication system performance within a cellular network. Addressing the limitations of existing analyses that often assume an infinite blocklength scenario, we explore EH-enabled UAV-NOMA systems within a cellular framework under a finite blocklength (FBL) scenario. The study investigates the complex interactions and advantages resulting from the integration of EH, NOMA, and UAV technologies, aiming to assess whether EH can sustain communication within this framework. The network model considers base stations (BSs), UAVs, and terrestrial devices distributed with independent Poisson point processes (PPPs) over a large area. In this network, BSs employ NOMA to serve cell center devices directly, while cell edge devices, which are nor in direct contact with BS, are served via simultaneous wireless information and power transfer (SWIPT) enabled UAVs. The study derives metrics including joint harvesting and decoding probability for a randomly selected UAV, coverage probability (CP) for cell devices, and end-to-end block error rate (BLER) probabilities for typical device pairs. The findings demonstrate that the proposed scheme effectively supplies all the necessary transmit power for communication purposes through EH, achieving reasonable reliability. Additionally, the study highlights the importance of considering a combination of blocklengths from different phases to achieve optimal performance, rather than solely relying on an increment in blocklength. Finally, the effects of parameter variations on network performance are examined.

中文翻译：

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在有限块长度范围内评估具有随机用户配对的能量收集 UAV-NOMA 网络


本研究提出了一种集成系统，将支持能量收集 (EH) 的无人机 (UAV) 与非正交多址 (NOMA) 相结合，以增强蜂窝网络内的通信系统性能。为了解决通常假设无限块长度场景的现有分析的局限性，我们在有限块长度（FBL）场景下的蜂窝框架内探索支持 EH 的 UAV-NOMA 系统。该研究调查了 EH、NOMA 和无人机技术集成所产生的复杂相互作用和优势，旨在评估 EH 是否能够在此框架内维持通信。该网络模型考虑了大范围内分布有独立泊松点过程（PPP）的基站（BS）、无人机和地面设备。在该网络中，基站采用 NOMA 直接为小区中心设备提供服务，而不与基站直接联系的小区边缘设备则通过支持同步无线信息和电力传输 (SWIPT) 的无人机提供服务。该研究得出的指标包括随机选择的无人机的联合收获和解码概率、蜂窝设备的覆盖概率 (CP) 以及典型设备对的端到端块错误率 (BLER) 概率。研究结果表明，所提出的方案通过 EH 有效地提供了通信所需的所有发射功率，实现了合理的可靠性。此外，该研究强调了考虑不同阶段的块长度组合以实现最佳性能的重要性，而不是仅仅依赖于块长度的增量。最后，研究了参数变化对网络性能的影响。