Elevating base stations (BSs) in the air, forming what are called aerial platforms (APs), has recently been treated as a promising solution to the problems of coverage, deployment and cost savings in mobile networks. Unlike terrestrial transmission with fixed BSs, AP-assisted air-to-ground (A2G) communications require joint optimization of the transmit parameters and AP service position, which is challenging due to the unknown propagation environment in the overall flying area. In this paper, a novel binary channel feature map (CFM) concept is proposed to grant the AP knowledge of the global propagation environment. With the assistance of the binary CFM, a unified A2G information and energy delivery framework is proposed, which includes three modules, i.e., a transmit optimization and user satisfaction evaluation module, an offline AP position planning module and an online AP position adjustment module. These modules operate coordinately to jointly perform beamforming matrix optimization for information delivery, transmit covariance optimization for energy delivery, and three-dimension AP service position planning and real-time adjustment. The simulation results reveal that the proposed framework can achieve higher user satisfaction level and lower outage probability, and can result in great savings of battery power or fuel in the AP when compared with reference schemes.

中文翻译：

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迈向无线环境数字化：基于二进制信道特征图的统一A2G信息和能量传输框架


在空中升高基站（BS），形成所谓的空中平台（AP），最近被认为是解决移动网络覆盖、部署和成本节约问题的一种有前途的解决方案。与固定基站的地面传输不同，AP辅助的空对地（A2G）通信需要对传输参数和AP服务位置进行联合优化，由于整个飞行区域的传播环境未知，这具有挑战性。在本文中，提出了一种新颖的二进制信道特征图（CFM）概念来授予 AP 全局传播环境的知识。在二进制CFM的帮助下，提出了统一的A2G信息和能量传递框架，该框架包括三个模块，即传输优化和用户满意度评估模块、离线AP位置规划模块和在线AP位置调整模块。这些模块协同工作，共同完成信息传递的波束成形矩阵优化、能量传递的发射协方差优化以及三维AP服务位置规划和实时调整。仿真结果表明，与参考方案相比，所提出的框架可以实现更高的用户满意度和更低的中断概率，并且可以大大节省 AP 的电池电量或燃料。