论文标题
针对小细胞网络的基于无人机的MMWave Fronthaul的下行链路干扰分析
Downlink Interference Analysis of UAV-based mmWave Fronthaul for Small Cell Networks
论文作者
论文摘要
在本文中,研究了一个无人驾驶飞机(UAV)的异质网络,以解决将分布式小细胞大量流量转移到核心网络的问题。首先,下行链路通道的详细三维(3D)模型的特征是考虑到真实天线模式,无人机的振动,小细胞基站的随机分布(SBS)以及无人机在3D空间中的位置。然后,对两种类型的PF干扰进行严格的干扰分析:细胞内干扰和细胞间干扰。然后,使用干扰分析结果来得出所考虑系统中停机概率的上限。使用数值结果表明,分析和仿真结果相互匹配。结果表明,在存在无人机波动的情况下,优化辐射模式形状需要在增加模式增益之间平衡固有的权衡,以减少干扰以及补偿MMWave频率下的大型路径损失,并减少它以减轻UAV振动的不良影响。分析推导可以在短时间内为任何条件的最佳天线模式推导,而不是使用耗时的广泛模拟。
In this paper, an unmanned aerial vehicles (UAV)-based heterogeneous network is studied to solve the problem of transferring massive traffic of distributed small cells to the core network. First, a detailed three-dimensional (3D) model of the downlink channel is characterized by taking into account the real antenna pattern, UAVs' vibrations, random distribution of small cell base stations (SBSs), and the position of UAVs in 3D space. Then, a rigorous analysis of interference is performed for two types pf interference: intra-cell interference and inter-cell interference. The interference analysis results are then used to derive an upper bound of outage probability on the considered system. Using numerical results show that the analytical and simulation results match one another. The results show that, in the presence of UAV's fluctuations, optimizing radiation pattern shape requires balancing an inherent tradeoff between increasing pattern gain to reduce the interference as well as to compensate large path loss at mmWave frequencies and decreasing it to alleviate the adverse effect of a UAV's vibrations. The analytical derivations enable the derivation of the optimal antenna pattern for any condition in a short time instead of using time-consuming extensive simulations.