2022/10/22 by Mengbing Liu, Liu, Mengbing, Xin Li +9 · 3 citations
Engineering · #Advanced Wireless Communication Technologies #Antenna Design and Analysis #Antenna Design and Optimization #FOS: Electrical engineering #Signal Processing (eess.SP) #eess.SP #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2210.12447
accepted by IEEE Wireless Communications Letters
arxiv created 2022/10/22 · openalex publication_date 2022/10/22 · arxiv updated 2022/10/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Reconfigurable Intelligent Surface (RIS) is considered as an energy-efficient solution for future wireless communication networks due to its fast and low-cost configuration. In this letter, we consider the estimation of cascaded channels in a double-RIS aided massive multiple-input multiple-output system, which is a critical challenge due to the large number of antennas equipped at the base station and passive RIS elements. To tackle this challenge, we propose a skip-connection attention (SC-attention) network that utilizes self-attention layers and skip-connection structure to improve the channel estimation performance from the noisy pilot-based observations. Simulation results compare the proposed SC-attention network with other benchmark methods and show that SC-attention network can effectively improve the accuracy performance on normalized mean square error (NMSE) for cascaded links in a double-RIS aided system.