Because of the rapid increase of mobile traffic, flexible broadband supportive unmanned aerial vehicle (UAV)‐based 6G mobile networks using free space optical (FSO) links have been recently proposed. Considering the advancements made in UAVs, big data processing, and artificial intelligence precision control technologies, the formation of an additional wireless network based on UAV aerial platforms to assist the existing fixed base stations of the mobile radio access network is considered a highly viable option in the near future. In this paper, a combined time bound optimization scheme is proposed that can adaptively satisfy the control and communication time constraints as well as the processing time constraints in FSO‐based 6G UAV aerial networks. The proposed scheme controls the relation between the number of data flows, input data rate, number of worker nodes considering the time bounds, and the errors that occur during communication and data processing. The simulation results show that the proposed scheme is very effective in satisfying the time constraints for UAV control and radio access network services, even when errors in communication and data processing may occur.

中文翻译：

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基于FSO的6G UAV空中网络的控制，通信和数据处理的组合时限优化

由于移动业务的快速增长，最近提出了使用自由空间光（FSO）链路的基于灵活宽带支持无人飞行器（UAV）的6G移动网络。考虑到无人机，大数据处理和人工智能精确控制技术的进步，基于无人机空中平台的附加无线网络的形成，以协助移动无线电接入网络的现有固定基站被认为是一种高度可行的选择。不久的将来。本文提出了一种组合的时限优化方案，该方案可以自适应地满足基于FSO的6G UAV空中网络中的控制和通信时间约束以及处理时间约束。拟议的方案控制着数据流数量，输入数据速率，考虑时限的工作节点数量以及在通信和数据处理期间发生的错误。仿真结果表明，即使在通信和数据处理中可能发生错误时，该方案在满足无人机控制和无线电接入网络服务的时间约束方面也非常有效。