Channel Tracking for RIS-Aided mmWave Communications Under High Mobility Scenarios

被引:6
作者
Liu, Yu [1 ]
Chen, Ming [1 ]
Pan, Cunhua [1 ]
Pan, Yijin [1 ]
Wang, Yinlu [1 ]
Huang, Yaoming [2 ]
Cao, Tianyang [2 ]
Wang, Jiangzhou [3 ]
机构
[1] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
[2] China Mobile Grp Design Inst Co Ltd, Beijing 100080, Peoples R China
[3] Univ Kent, Sch Engn & Digital Arts, Canterbury CT2 7NZ, England
基金
中国国家自然科学基金;
关键词
Channel estimation; Millimeter wave communication; Particle filters; Azimuth; Kalman filters; Filtering theory; Wireless communication; RIS; mmWave; channel tracking; particle filtering;
D O I
10.1109/LCOMM.2023.3262646
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
The emerging reconfigurable intelligent surface (RIS) technology is promising for applications in the millimeter wave (mmWave) communication systems to effectively compensate for propagation loss or tackle the blockage issue. Considering the high mobility of users in realistic scenarios, it is essential to adjust the phase shifts in real time to align the beam towards the mobile users, which requires to frequently estimate the channel state information. Hence, it is imperative to design efficient channel tracking schemes to avoid the complex channel estimation procedure. In this letter, we develop a novel channel tracking scheme with two advantages over conventional schemes. First, our tracking scheme is based on the cascaded angles at the RIS instead of the accurate angle values, which is more practical. Second, it can be employed under a more general setting where the noise can be non-Gaussian. Simulation results show the high tracking accuracy of our proposed scheme, and validate the superiority to the existing EKF-based tracking scheme.
引用
收藏
页码:1397 / 1401
页数:5
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