We treat a setting in which two priority wireless service classes are offered in a given area by a drone small cell (DSC). Specifically, we consider broadband (BB) user with high priority and reliability requirements that coexists with random access machine-type-communications (MTC) devices. The drone serves both connectivity types with a combination of orthogonal slicing of the wireless resources and dynamic horizontal opportunistic positioning (D-HOP). We treat the D-HOP as a computational geometry function over stochastic BB user locations which requires careful adjustment in the deployment parameters to ensure MTC service at all times. Using an information theoretic approach, we optimize DSC deployment properties and radio resource allocation for the purpose of maximizing the average rate of BB users. While respecting the strict dual service requirements we analyze how system performance is affected by stochastic user positioning and density, topology, and reliability constraints combinations. The numerical results show that this approach outperforms static DSCs that fit the same coverage constraints, with outstanding performance in the urban setting.

翻译：我们处理的是无人机小型电池(DSC)在一个特定区域提供两个优先无线服务类别的环境。具体地说,我们考虑宽带用户的高优先度和可靠性要求,这些要求与随机访问机型通信(MTC)设备共存。无人机服务于两种连接类型,结合无线资源和动态横向机会定位(D-HOP),我们把D-HOP视为一种对随机BBB用户地点的计算几何功能,需要认真调整部署参数,以确保随时提供MTC服务。我们采用信息理论方法,优化DSC部署属性和无线电资源分配,以最大限度地提高BB用户的平均比例。在尊重严格的双重服务要求的同时,我们分析了系统性能如何受到随机用户定位和密度、地形和可靠性制约组合的影响。我们的数字结果表明,这一方法超越了适合相同覆盖范围限制的固定DSC系统,在城市环境中表现出色。