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Coverage-maximization and Energy-efficient Drone Small Cell Deployment in Aerial-Ground Collaborative Vehicular Networks

机译:地面-地面协作车辆网络中的覆盖范围最大化和高能效的无人机小蜂窝部署

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Deployment positions and energy efficiency optimization for drone small cells (DSCs) are two promising techniques to enhance the coverage capability and prolong the operational time of DSCs in aerial-ground collaborative vehicular networks. Generally, it is necessary to determine the number of DSCs that need to deploy at the lowest cost with the maximum non-overlapping coverage. In this paper, a coverage-maximization and energy-efficient DSC deployment scheme is proposed to deploy a certain number of DSCs in the target area, which is based on the circle packing theory and the UAV energy consumption model. The proposed scheme deploys the DSCs to maximize the communication coverage and minimize the energy consumption jointly by considering the DSC altitude, energy consumption model, communication quality, and connectivity. The results show that according to the different proportion of coverage and energy consumption of DSCs, we can determine the deployment number and positions of DSCs. The proposed deployment method can achieve the largest non-overlapping coverage with different DSCs numbers while ensuring the quality of aerial-ground communications.
机译:无人机小蜂窝小区(DSC)的部署位置和能效优化是两项有前途的技术,可提高其在空地协同车辆网络中的覆盖能力并延长DSC的运行时间。通常,有必要确定需要以最低成本部署且具有最大的非重叠覆盖范围的DSC数量。本文基于圆包装理论和无人机能耗模型,提出了一种覆盖最大化,高能效的DSC部署方案,在目标区域部署一定数量的DSC。所提出的方案通过考虑DSC高度,能耗模型,通信质量和连通性来部署DSC,以最大程度地扩大通信覆盖范围并最小化能耗。结果表明,根据DSC覆盖范围和能耗的不同,可以确定DSC的部署数量和位置。所提出的部署方法可以在确保空中地面通信质量的同时,以不同的DSC数量实现最大的不重叠覆盖。

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