论文标题
IRS在UAV授权6G网络中的部署
The Deployment of IRS in UAV-Empowered 6G Networks
论文作者
论文摘要
智能反射表面（IRSS）具有重新配置固有的电磁反射和实时的吸收特征的能力，为在不利情况下的无线连接提供了无与伦比的前景。无人驾驶飞机（UAV）协助的无线网络被进化为可靠的解决方案，以打击非线的视线（NLOS）场景。因此，由IRS授权的无人机辅助蜂窝网络将成为改善覆盖范围和用户体验的重要角色。该论文旨在最大程度地减少路径损失并最大化IRS-UAV辅助网络中可实现的数据速率。在这种情况下，考虑到常规的无人机模型和IRS授权的无人机通信模型，该工作利用毫米波（MMWave）载体分析了路径损失和可实现的速率。与常规无人机辅助模型相比，该研究获得的IRSEMPOWER UAV通信模型可以显着最大程度地减少路径损失并最大化可实现的数据速率。
Intelligent reflecting surfaces (IRSs) with the ability to reconfigure inherent electromagnetic reflection and absorption characteristics in real-time provide unparalleled prospects to improve wireless connectivity in adverse circumstances. Unmanned aerial vehicles (UAV)-assisted wireless networks are evolved as a reliable solution to combat non-line of sight (NLoS) scenarios. Thereby, the IRS-empowered UAV-assisted cellular networks will be a significant role-player to improve the coverage and user experiences. The paper aimed to minimize the path loss and maximize the achievable data rate in IRS-UAV-assisted networks. In this context, the work analyzed path loss and achievable rate utilizing millimeter wave (mmWave) carrier considering the conventional UAV model and IRS-empowered UAV communication model. The research obtained that the IRSempowered UAV communications model can significantly minimize path loss and maximize the achievable data rate compared to the conventional UAV-assisted model.
