5G-enabled Optimal Bi-Throughput for UAS Swarm Networking
5G-enabled Optimal Bi-Throughput for UAS Swarm Networking
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DOI：
10.1109/sagc50777.2020.00019
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发表时间：
2020-12
期刊：
影响因子：
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通讯作者：
Jian Wang;Yongxin Liu;Shuteng Niu;H. Song
中科院分区：
文献类型：
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作者：
Jian Wang;Yongxin Liu;Shuteng Niu;H. Song
无人机系统（UAS）群被部署在许多应用中，以成功地完成具有灵活性，复杂性和准确性要求的挑战性任务。借助5G新无线电（5G NR），UAS群组网可以产生高容量的移动的通信，为UAS群提供更稳定、更有效的服务。然而，传统的无人机群组网体系结构是集中式和层次化的，从而限制了群通信的高容量和群的大规模部署。本文受蜂窝通信行为的启发，提出了一种面向蜂窝壁的UAS群体网络双吞吐量优化算法。具体来说，我们利用边着色来优化路由调度，以获得最大的吞吐量为每个无人机群。仿真结果表明，当时隙数小于0时，两个方向的吞吐量都可以提高到90%以上。01s。支持5G的最佳双吞吐量解决方案显示出巨大的潜力，可以为实时具有挑战性的使命提供更兼容的UAS群网络能力。
Unmanned Aerial Systems (UAS) swarms are being deployed in many applications to complete challenging missions with the requirements of flexibility, complexity, and accuracy successfully. With 5G New Radio (5G NR), UAS swarm networking can yield high capacities of mobile communication to provide more stable, effective services for UAS swarm. However, the conventional architectures of UAS swarm networking are centralized and hierarchical, thus restricting the high volume communication due to heterogeneous swarm communication, and the deployment of UAS swarms on a large scale. In this paper, inspired by the behavior of cell communication, we propose a cell wall oriented bi-throughput optimization algorithm for UAS swarm networking. To be specific, We leverage edge-coloring to optimize the routing schedule to obtain the maximum throughput for each UAS swarm. The evaluation shows that the throughput from both directions can be enhanced to achieve an improvement of up to 90% when the time slot is less than 0. 01s. The 5G-enabled optimal bi-throughput solution shows great potential to provide UAS swarm networking more compatible capacities for the challenging mission in real-time.