标题： 利用全向无人机在RIS启用的无线网络中的潜力 显示英文标题

标题： Harnessing the Potential of Omnidirectional UAVs in RIS-Enabled Wireless Networks

摘要： 多旋翼飞行器（MRAVs）在集成到无线通信系统并配备反射智能表面（RIS）时，可以增强覆盖范围并在受阻区域实现连接。 然而，由于自由度有限（DoF），传统的欠驱动MRAVs配备RIS无法独立控制RIS的方向和自身位置，这显著限制了网络性能。 引入了一种新的设计，全向多旋翼飞行器（o-MRAV），以解决这个问题。 在本文中，部署了一个o-MRAV来协助地面基站为受阻用户提供连接。 我们的目标是通过优化o-MRAV的方向、位置和RIS相移来最大化用户之间的最小数据速率。 为了解决这个具有挑战性的问题，我们首先平滑目标函数，然后应用并行逐次凸近似（PSCA）技术来找到高效的解决方案。 我们的仿真结果表明，与传统的u-MRAVs相比，o-MRAVs在最小和平均数据速率方面分别提高了28%和14%。 显示英文摘要

摘要： Multirotor Aerial Vehicles (MRAVs) when integrated into wireless communication systems and equipped with a Reflective Intelligent Surface (RIS) enhance coverage and enable connectivity in obstructed areas. However, due to limited degrees of freedom (DoF), traditional under-actuated MRAVs with RIS are unable to control independently both the RIS orientation and their location, which significantly limits network performance. A new design, omnidirectional MRAV (o-MRAV), is introduced to address this issue. In this paper, an o-MRAV is deployed to assist a terrestrial base station in providing connectivity to obstructed users. Our objective is to maximize the minimum data rate among users by optimizing the o-MRAV's orientation, location, and RIS phase shift. To solve this challenging problem, we first smooth the objective function and then apply the Parallel Successive Convex Approximation (PSCA) technique to find efficient solutions. Our simulation results show significant improvements of 28% and 14% in terms of minimum and average data rates, respectively, for the o-MRAVs compared to traditional u-MRAVs.