In this article, we introduce a new mathematical framework for the analysis and design of UAV corridors in cellular networks, while considering a realistic network deployment, antenna radiation pattern, and propagation channel model. By leveraging quantization theory, we optimize the electrical tilts of existing ground cellular base stations to maximize the coverage of both legacy ground users and UAVs flying along specified aerial routes. Our practical case study shows that the optimized network results in a cell partitioning that significantly differs from the usual hexagonal pattern, and that it can successfully guarantee coverage all over the UAV corridors without degrading the perceived signal strength on the ground.
翻译:在本篇文章中,我们引入了一个新的数学框架,用于分析和设计蜂窝网络中的无人驾驶飞行器走廊,同时考虑现实的网络部署、天线辐射模式和传播信道模式。我们通过利用量化理论,优化现有地面蜂窝基站的电倾斜,以最大限度地覆盖遗留的地面用户和沿特定航空路线飞行的无人驾驶飞行器。我们的实际案例研究表明,优化的网络导致细胞分隔,与通常的六角形模式大不相同,而且它能够成功地保证无人驾驶飞行器走廊的覆盖,同时又不降低人们所察觉的地面信号强度。