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 very challenging, especially in an intelligent reflecting surface (IRS)-
aided wireless system. This letter proposes a deep learning (DL) based approach for IRS …

Channel estimation is one of the main tasks in realizing practical intelligent reflecting surface-
assisted multi-user communication (IRS-MUC) systems. However, different from traditional …

In recent years, the advantages of wireless communication systems assisted by intelligent
reflecting surface (IRS) have attracted great attention in the field of mobile communication …

Integrated sensing and communication (ISAC) and intelligent reflecting surface (IRS) are
viewed as promising technologies for future generations of wireless networks. This paper …

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

In this paper, we introduce channel prediction to wireless communications aided by
intelligent reflecting surface (IRS) in order to reduce the overhead brought by full channel …

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 …

One main challenge for implementing intelligent reflecting surface (IRS) aided
communications lies in the difficulty to obtain the channel knowledge for the base station …

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