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2025-09-08
Joint Beam Tracking Algorithm Research Based on RIS Selection
By
Progress In Electromagnetics Research B, Vol. 115, 95-109, 2025
Abstract
Reconfigurable Intelligent Surface (RIS), as one of the potential key technologies for 6G, can effectively solve the problem of millimeter-wave links being obstructed by constructing an intelligent and controllable wireless communication environment. In this paper, a joint beam tracking algorithm based on RIS selection is proposed for the scenario of multi-RIS-assisted millimeter-wave vehicle-to-infrastructure (V2I) communication. The aim is to select as few RISs as possible to aid communication while the performance of beam tracking can be maximized. Firstly, the beam tracking model jointly composed of line-of-sight paths and virtual line-of-sight paths constructed by multiple RISs is derived based on the multiple-input-multiple-output model in a 3D road scene, and the beam tracking under this combined path is realized based on the Extended Kalman Filter (EKF) algorithm. Second, for the RIS-assisted millimeter-wave V2I scenario, a new metric to quantify the beam tracking performance is comprehensively designed based on the received signal-to-noise ratio, the beam angle variation, and the distance variation from the RIS to the vehicle. Finally, based on this metric, the joint beam tracking is realized by the RIS selection strategy and the EKF algorithm under the combined path. Simulation results show that the joint beam tracking algorithm based on RIS selection proposed in this paper has lower beam tracking error than the traditional signal-to-noise ratio based beam tracking algorithm.
Citation
Chenwei Feng, Zhenzhen Lin, Yawei Sun, Yangbin Huang, and Yinhua Wu, "Joint Beam Tracking Algorithm Research Based on RIS Selection," Progress In Electromagnetics Research B, Vol. 115, 95-109, 2025.
doi:10.2528/PIERB25070201
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