The power consumption of future user equipments (UEs) will be affected by the projected growth in their computing capacity, while data throughput may be affected by emerging aerial UEs with specific radio propagation conditions compared to terrestrial UEs. In such a context, this letter evaluates a key metric of interest, namely the probability that the uplink energy efficiency (EE) at a typical ground base station will be higher than a predefined threshold. We first characterize the priority bias of each UE layer as a function of long-term shadowing and system-level parameters to assess its penetration rate, i.e., the amount of active UEs from each tier among the total population of active UEs. Next, tractable approximations of the desired signal and the interference distribution are performed, enabling to derive the uplink EE. Our results demonstrate that an aggregation of the system-level parameters through the aerial priority bias needs to meet a given constraint to mitigate interference from aerial UEs and enhance the uplink EE of ground UEs. Monte-Carlo simulations validate the accuracy of our analytical results.

中文翻译：

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蜂窝网络中与空中用户的上行链路能效分配

未来用户设备 (UE) 的功耗将受到其计算能力预计增长的影响，而与地面 UE 相比，具有特定无线电传播条件的新兴空中 UE 可能会影响数据吞吐量。在这种情况下，这封信评估了一个重要的关键指标，即典型地面基站的上行链路能量效率 (EE) 高于预定义阈值的概率。我们首先将每个 UE 层的优先级偏差表征为长期阴影和系统级参数的函数，以评估其渗透率，即活动 UE 总数中每一层的活动 UE 数量。接下来，执行所需信号和干扰分布的易处理近似，从而能够推导出上行链路 EE。我们的结果表明，通过空中优先级偏差聚合系统级参数需要满足给定的约束，以减轻来自空中 UE 的干扰并增强地面 UE 的上行链路 EE。Monte-Carlo 模拟验证了我们分析结果的准确性。