论文标题
未来小细胞网络的基于无人机的MMWave Fronthaul链接的3D上行链路通道建模
3D Uplink Channel Modeling of UAV-based mmWave Fronthaul Links for Future Small Cell Networks
论文作者
论文摘要
在这项研究中，我们考虑了一个无人驾驶飞机（UAV）辅助的异质网络，该网络作为一种具有成本效益且易于部署的解决方案提供，以解决与将分布式小单元转移到核心网络的问题有关的问题。对于任何给定的小细胞基站（SBS）的给定分布，我们首先要通过考虑实际参数来表征SBS到网络飞行平台（NFP）的准确毫米波（MMWAVE）模型，例如无人机的振动，例如SBS的分布，SBS的分布，SBS的分布，UAV的位置，在天空中均由3D型（3D）的thefer（3D）天线模型，而频率（3D）的频率（3D）天线（3D）天线（3D）天线（3D）天线脉动（3D）天线（3D）天线模型。重用。然后，对于特征通道，我们得出了端到端信号到噪声和干扰比（SINR）的分析闭合形式表达。基于此，我们为基于无人机的MMWave上行链路的中断概率和通道容量提供了封闭形式的表达式。通过蒙特卡洛模拟验证了衍生分析表达式的准确性。最后，我们研究了不同通道参数的影响，例如天线模式增益，无人机振动的强度，在天空中的无人机位置，SBS的分布以及频率再利用对根据平均容量和中断概率而言，基于无人机的上链接通道的性能。
In this study, we consider an unmanned aerial vehicle (UAV)-assisted heterogeneous network that is offered as a cost-effective and easy to deploy solution to solve the problem related to transferring traffic of distributed small cells to the core network. For any given distribution of small cell base stations (SBSs), we first characterize an accurate millimeter wave (mmWave) channel model for SBS to networked flying platform (NFP) by taking into consideration real parameters such as UAV's vibrations, distribution of SBSs, position of UAVs in the sky, real three-dimensional (3D) antenna pattern model provided by 3GPP along with interference caused by antenna side lobes and frequency reuse. Then, for the characterized channel, we derive an analytical closed-form expression for the end-to-end signal-to-noise plus interference ratio (SINR). Based on that, we derive the closed-form expressions for the outage probability and channel capacity of the considered UAV-based mmWave uplinks. The accuracy of the derived analytical expressions is verified by Monte Carlo simulations. Finally, we investigate the effects of different channel parameters such as antenna pattern gain, strength of UAV's vibrations, UAVs' positions in the sky, distribution of SBSs, and frequency reuse on the performance of the considered UAV-based uplink channel in terms of average capacity and outage probability.
