论文标题
具有3D天线辐射模式的无人机网络中的能源收集
Energy Harvesting in Unmanned Aerial Vehicle Networks with 3D Antenna Radiation Patterns
论文作者
论文摘要
在本文中，提供了一个分析框架来分析使用聚集的用户设备（UES）的无人机（UAV）能源收集网络的能量覆盖范围。 UE的位置被建模为泊松群集过程（PCP），并且假定无人机位于用户簇中心上方的一定高度。因此，解决了以用户为中心的无人机部署。考虑了两种不同的模型，即视线（LOS）概率功能，以比较它们对网络性能的影响。此外，在UES和UES都采用了带有甜点形辐射模式的天线，还研究了实用的3D天线辐射模式对网络性能的影响。最初，通过得出互补累积分布函数和概率密度函数来描述每个层的路径损失。之后，确定了与每个层的关联概率，并且无人机网络的能量覆盖概率是根据关键系统和无人机部署的网络参数来表征的，既可以在单个高度级别上，更通常在多个高度下。通过数值结果，我们已经证明了集群的大小和无人机高度在能量覆盖性能上起关键作用。此外，能量覆盖率的概率受到网络中无人机的天线方向和数量的显着影响。
In this paper, an analytical framework is provided to analyze the energy coverage performance of unmanned aerial vehicle (UAV) energy harvesting networks with clustered user equipments (UEs). Locations of UEs are modeled as a Poisson Cluster Process (PCP), and UAVs are assumed to be located at a certain height above the center of user clusters. Hence, user-centric UAV deployments are addressed. Two different models are considered for the line-of-sight (LOS) probability function to compare their effects on the network performance. Moreover, antennas with doughnut-shaped radiation patterns are employed at both UAVs and UEs, and the impact of practical 3D antenna radiation patterns on the network performance is also investigated. Initially, the path loss of each tier is statistically described by deriving the complementary cumulative distribution function and probability density function. Following this, association probabilities with each tier are determined, and energy coverage probability of the UAV network is characterized in terms of key system and network parameters for UAV deployments both at a single height level and more generally at multiple heights. Through numerical results, we have shown that cluster size and UAV height play crucial roles on the energy coverage performance. Furthermore, energy coverage probability is significantly affected by the antenna orientation and number of UAVs in the network.
