In this work, we consider the deployment of reconfigurable intelligent surfaces (RISs) to extend the coverage of a millimeter-wave (mmWave) network in indoor dense spaces. We first integrate RIS into ray-tracing simulations to realistically capture the propagation characteristics, then formulate a non-convex optimization problem that minimizes the number of RISs under rate constraints. We propose a feasible point pursuit and successive convex approximation-based algorithm, which solves the problem by jointly selecting the RIS locations, optimizing the RIS phase-shifts, and allocating time resources to user equipments (UEs). The numerical results demonstrate substantial coverage extension by using at least four RISs, and a data rate of 130 Mbit/s is guaranteed for UEs in the considered area of an airplane cabin.

翻译：在这项工作中,我们考虑在室内稠密空间部署可调整的智能表面(RIS)以扩大毫米波(mmWave)网络的覆盖面。我们首先将RIS纳入射线模拟,以便现实地捕捉传播特征,然后提出非碳化优化问题,从而将受利率限制的RIS数量减少到最低程度。我们提出了一个可行的点追寻和连续组合近似算法,它通过联合选择RIS地点、优化RIS阶段变换和为用户设备分配时间资源来解决问题。 数字结果显示,至少使用4个IRS将覆盖大大扩大,并且保证一个机舱中考虑的区域的UIS数据率为130兆比特/秒。