Reconfigurable Intelligent Surface Assisted Millimeter Wave Indoor Localization Systems
Baojia Luo, Miaomiao Dong, Hao Wu, Yue Li, Yang Lu, Xiang Chen, Bo Bai
Abstract
Reconfigurable intelligent surfaces (RISs) are regarded as one of the most promising techniques in the sixth-generation (6G) mobile communication networks. With the feature of smartly tuning the electromagnetic environment, RISs provide a possibility for ubiquitous and high-precision localization in 6G. However, proper system models for large indoor RIS-assisted networks and high-precision localization algorithms are still missing. In this paper, we propose a RIS-assisted downlink millimeter-wave (mmWave) indoor localization framework based on segment-by-segment far-field assumption. In addition, a brand new coarse-to-fine localization algorithm with low-complexity grid design is provided. Numerical results show that millimeter-level localization precision is achieved under the RIS-assisted indoor scenarios, which reveals that RIS can provide a solid support for accurate localization in the 6G era.