Integrated sensing and communication (ISAC), and intelligent reflecting surface (IRS) are
envisioned as revolutionary technologies to enhance spectral and energy efficiencies for …

Deep learning (DL) is an emerging paradigm for accurate channel estimation for intelligent
reflecting surface (IRS)-aided wireless communication systems. It has been proven to be a …

Channel estimation is of great importance in realizing practical intelligent reflecting surface-
assisted multi-user communication (IRS-MC) systems. However, different from traditional …

Multi-user integrated sensing and communication (ISAC) assisted by intelligent reflecting
surface (IRS) has been recently investigated to provide a high spectral and energy efficiency …

Deep learning (DL)-based channel estimation has achieved remarkable success. However,
most existing works focus on the white Gaussian noise which are inapplicable for cell-edge …

Deep learning (DL) has emerged as an effective tool for channel estimation in wireless
communication systems, especially under some imperfect environments. However, even …

Intelligent reflecting surface (IRS) has been proposed as a promising technology to smartly
control the wireless signal propagation and enhance the spectral efficiency of wireless …

Due to the passive nature of Intelligent Reflecting Surface (IRS), channel estimation is a
fundamental challenge in IRS-aided wireless networks. Particularly, as the number of IRS …

Channel estimation plays a critical role in the system performance of wireless networks. In
addition, deep learning has demonstrated significant improvements in enhancing the …

Channel estimation with received signal-to-noise ratio (SNR) feedback is promising and
effective for practical wireless multiple-input multiple-output (MIMO) systems. In this paper …