Unmanned aerial vehicles (UAVs) can provide an effective solution for improving the coverage, capacity, and the overall performance of terrestrial wireless cellular networks. In particular, UAV-assisted cellular networks can meet the stringent performance requirements of the fifth generation new radio (5G NR) applications. In this article, the problem of energy-efficient resource allocation in UAV-assisted cellular networks is studied under the reliability and latency constraints of 5G NR applications. The framework of ruin theory is employed to allow solar-powered UAVs to capture the dynamics of harvested and consumed energies. First, the surplus power of every UAV is modeled, and then it is used to compute the probability of ruin of the UAVs. The probability of ruin denotes the vulnerability of draining out the power of a UAV. Next, the probability of ruin is used for efficient user association with each UAV. Then, power allocation for 5G NR applications is performed to maximize the achievable network rate using the water-filling approach. Simulation results demonstrate that the proposed ruin-based scheme can enhance the flight duration up to 61% and the number of served users in a UAV flight by up to 58%, compared to a baseline SINR-based scheme.

中文翻译：

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无人机辅助蜂窝网络中节能资源分配的毁灭理论

无人机（UAV）可以为提高地面无线蜂窝网络的覆盖范围、容量和整体性能提供有效的解决方案。特别是无人机辅助蜂窝网络可以满足第五代新无线电（5G NR）应用的严格性能要求。在本文中，在 5G NR 应用的可靠性和时延约束下，研究了无人机辅助蜂窝网络中的节能资源分配问题。废墟理论的框架被用来让太阳能无人机捕捉收集和消耗的能量的动态。首先对每架无人机的剩余功率进行建模，然后用它来计算无人机报废的概率。毁坏概率表示耗尽无人机动力的脆弱性。下一个，毁坏概率用于与每个无人机进行有效的用户关联。然后，对 5G NR 应用进行功率分配，以使用注水方法最大化可实现的网络速率。仿真结果表明，与基于 SINR 的基线方案相比，所提出的基于废墟的方案可以将无人机飞行的飞行持续时间提高 61%，将无人机飞行中的服务用户数量提高多达 58%。