论文标题
优化MMWave车辆系统中可重构智能表面的部署
Optimizing the Deployment of Reconfigurable Intelligent Surfaces in MmWave Vehicular Systems
论文作者
论文摘要
毫米波（MMWave）系统容易受到阻塞的影响，这会导致信号降低并链接中断。一种解决方案是部署可重新配置的智能表面（RISS），以添加从发射器到接收器的强烈非线路径。为了实现最佳性能，考虑到潜在用户和可能的阻滞剂的分布，应针对给定站点进行优化部署的RIS的位置。在本文中，我们找到了在现实的车辆场景中工作的最佳位置，高度和下层。由于RIS和车辆之间的距离以及RIS的较大电气尺寸，我们考虑了3D几何形状，包括高程角和近场边界。我们以覆盖率和面积平均速率都提供了RIS配置的结果。我们发现，优化的RI在没有RI的情况下提高了比该案的平均平均率50％，并进一步改善了覆盖率。
Millimeter wave (MmWave) systems are vulnerable to blockages, which cause signal drop and link outage. One solution is to deploy reconfigurable intelligent surfaces (RISs) to add a strong non-line-of-sight path from the transmitter to receiver. To achieve the best performance, the location of the deployed RIS should be optimized for a given site, considering the distribution of potential users and possible blockers. In this paper, we find the optimal location, height and downtilt of RIS working in a realistic vehicular scenario. Because of the proximity between the RIS and the vehicles, and the large electrical size of the RIS, we consider a 3D geometry including the elevation angle and near-field beamforming. We provide results on RIS configuration in terms of both coverage ratio and area-averaged rate. We find that the optimized RIS improves the average averaged rate fifty percent over the case without a RIS, as well as further improvements in the coverage ratio.
