会议论文

Xiao, J

英文

IEEE Wireless Communications and Networking Conference. Proceedings

1525-3511

2023

IEEE Wireless Communications and Networking Conference (WCNC)

IEEE Wireless Communications and Networking Conference

MAR 26-29, 2023

Glasgow, SCOTLAND

[Xiao, Jian;Wang, Ji;Xu, Hongbo] Cent China Normal Univ, Dept Elect & Informat Engn, Wuhan, Peoples R China.^[Xie, Wenwu] Hunan Inst Sci & Technol, Sch Informat Sci & Engn, Yueyang, Peoples R China.^[Wang, Xinhua] Qingdao Univ, Coll Elect Engn, Qingdao, Peoples R China.^[Wang, Chaowei] Beijing Univ Posts & Telecommun, Sch Elect Engn, Beijing, Peoples R China.

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-6654-9122-8

10.1109/WCNC55385.2023.10119023

National Natural Science Foundation of China [62101205]; Key Research and Development Program of Hubei Province [2021BAA170]; Natural Science Foundation of Hubei Province [2021CFB248]; Fundamental Research Funds for the Central Universities of China [CCNU20QN004]

本校为第一且通讯机构

Motivated by the development of single image superresolution (SR) reconstruction in computer version, classic SR networks have been widely applied to the channel estimation of wireless communication system. To capture the spatial correlations in the reflection element-domain of reconfigurable intelligent surface (RIS), we propose a multi-scale supervised learning-based Laplacian pyramid wide residual network (LapWRes) to achieve the progressive reconstruction of cascaded channel in a coarse-to-fine fashion. The LapWRes can be divided vertically into feature extraction branch (FEB) and channel ...