Datasets
Standard Dataset
RIS_CE
- Citation Author(s):
- Submitted by:
- Xiao Jian
- Last updated:
- Mon, 09/16/2024 - 09:10
- DOI:
- 10.21227/3c2t-dz81
- Data Format:
- License:
- Categories:
- Keywords:
Abstract
A multi-scale attention based channel estimation framework is proposed for reconfigurable intelligent surface (RIS) aided massive multiple-input multiple-output systems, in which both hardware imperfections and time-varying characteristics of cascaded channel are investigated. By exploiting the spatial correlations of different scales in the RIS reflection element domain, we construct a Laplacian pyramid attention network (LPAN) to realize the high-dimensional cascaded channel reconstruction with limited pilot overhead. In LPAN, we leverage the multi-scale supervision learning to progressively capture the spatial correlations of cascaded channel in a coarse-to-fine fashion, where the attention mechanism based dual-branch architecture is designed to fuse the high-frequency component and component of channel. To balance network performance and complexity of LPAN, we further propose a lightweight LPAN-L architecture. In LPAN-L, the partial standard convolutional layers are decomposed into the group convolution, dilated convolution and point-wise convolution, which forms a sparse convolutional filter set to extract the channel feature with less computation cost. In addition, we leverage parameter sharing and recursion strategy to reduce the required space complexity of LPAN. Furthermore, a selective fine-tuning strategy is developed to realize the domain adaption of the proposed LPAN-L model. You can also download the dataset by Baidu Netdisk, link: https://pan.baidu.com/s/1nkIOkzMuZTciFpSUBHcRKw?pwd=ah7k (access code: ah7k)
In the dataset construction, we set the number of BS antennas M = 8×8, RIS elements N = 16×16 and users K =6 for the RIS-aided multi-user massive MIMO communication system. The mmWave communication frequency is set to 28 GHz . The transimitted pilot length at the user is set to 32.
Dataset Files
- indoorH_LS_Data6users_1B32pilot.rar (3.89 GB)
- indoorH_LSval_Data6users_1B32pilot.rar (248.11 MB)
- indoorH_LStest_Data6users_1B32pilot.rar (939.96 MB)
Comments
A synthetic dataset for the RIS-aided multi-user mmWave massive MIMO channel estimation
信道估计研究生,想下载您的数据集复现代码,谢谢
Thank you for your interest. You can also download the dataset by Baidu Netdisk, link: https://pan.baidu.com/s/1nkIOkzMuZTciFpSUBHcRKw?pwd=ah7k (access code: ah7k)