Location information offered by external positioning systems, e.g., satellite navigation, can be used as prior information in the process of beam alignment and channel parameter estimation for reconfigurable intelligent surface (RIS)-aided millimeter wave (mmWave) multiple-input multiple-output networks. Benefiting from the availability of such prior information, albeit imperfect, the beam alignment and channel parameter estimation processes can be significantly accelerated with less candidate beams explored at all the terminals. We propose a practical channel parameter estimation method via atomic norm minimization, which outperforms the standard beam alignment in terms of both the mean square error and the effective spectrum efficiency for the same training overhead.

中文翻译：

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利用位置信息进行 RIS 辅助的毫米波 MIMO 通信

外部定位系统（例如卫星导航）提供的位置信息可用作可重构智能表面（RIS）辅助毫米波（mmWave）多输入多输出网络的波束对准和信道参数估计过程中的先验信息. 受益于此类先验信息的可用性，尽管不完善，但可以通过在所有终端探索较少的候选波束来显着加速波束对准和信道参数估计过程。我们提出了一种通过原子范数最小化的实用信道参数估计方法，该方法在均方误差和相同训练开销的有效频谱效率方面均优于标准波束对齐。