系留无人机平台搭载的蜂窝通信基站吞吐量优化

考虑多架系留无人机（UAV）空中基站为多小区提供空地双向通信服务时，针对地面用户数目分布不均匀和多机协同服务同频干扰严重的问题，提出了一种联合优化空中基站高度和链路传输方向的吞吐量优化算法。该方法通过使用最大同频链路准则和就近服务准则确定了同频链路配对和无人机/用户配对，通过优化空中基站高度和链路传输方向提升了系统平均吞吐量，并减少了用户间的同频干扰。多种场景下验证结果均显示，所提方法显著优于其他非联合优化的对比方法，当拥塞小区用户数目是非拥塞小区用户数目的1~36倍时，相比于不联合优化链路传输方向和空中基站高度的对比方法，所提方法可提升系统平均吞吐量8倍左右。 

Throughput optimization for cellular communication on tethered unmanned aerial vehicle base station

Considering the problems of uneven distribution of the number of ground users and serious co-channel interference of multi Unmanned Aerial Vehicle (UAV) cooperative services when multiple tethered UAV aerial base stations are used to provide air-ground two-way communication services to multiple communities, this paper proposes a throughput optimization method with both aerial base station height and link transmission direction optimized. This method determines the co-frequency link pairing and drone/user pairing by using the maximum co-frequency link criterion and the nearest service criterion. By optimizing the drone height and link transmission direction, the average throughput of the system is improved and the co-frequency interference between users is reduced. The verification results in various scenarios show that the proposed method is significantly better than non-joint-optimization comparative methods that do not jointly optimize the link transmission direction and the height of aerial base station. When the number of users in a congested community is 1-36 times the number of users in a non-congested community, compared with the comparative methods, the proposed method can improve the average throughput of the system by about 8 times.