Unmanned aerial vehicles (UAVs) are being successfully used to deliver communication services in applications such as extending the coverage of 5G cellular networks in remote areas, emergency situations, and enhancing the service quality in regions of dense user populations. While optimized placement solutions have been proposed in literature for ensuring quality of service (QoS) of users, they may not be ideal in highly mobile, autonomous, and diverse network scenarios. This paper proposes a proactive and resilient framework for distributed and dynamic orchestration of UAV small cells to provide QoS differentiation in the network. The UAV locations are tailored to end-user locations and service needs while ensuring that UAVs maintain localized backhaul connectivity. Simulation experiments show that under scenarios where physical placement can achieve service differentiation, the developed framework leads to a stable configurations of UAVs satisfying above 90% of user QoS requirements.
翻译:无人驾驶航空飞行器(无人驾驶飞行器)正在成功地用于提供通信服务,应用方式包括扩大边远地区5G蜂窝网络的覆盖面、紧急情况以及提高密集用户人口的服务质量,文献中虽然提出了最佳安置解决方案,以确保用户服务质量,但在高度机动、自主和多样化的网络情景下可能并不理想,本文件建议为无人驾驶飞行器小型细胞的分布和动态管弦提供一个积极主动和有弹性的框架,以提供网络中的QOS差异。无人驾驶飞行器的位置适合终端用户位置和服务需要,同时确保无人驾驶飞行器保持局部反向连接。模拟实验表明,在实际安置能够实现服务差异的情况下,已开发的框架可以形成一个稳定的无人驾驶飞行器配置,满足90%以上的用户QOS要求。