Deep-Learning-Based Channel Estimation for IRS-Assisted ISAC System

arXiv:2402.09439v1 Announce Type: cross
Abstract: Integrated sensing and communication (ISAC) and intelligent reflecting surface (IRS) are viewed as promising technologies for future generations of wireless networks. This paper investigates the channel estimation problem in an IRS-assisted ISAC system. A deep-learning framework is proposed to estimate the sensing and communication (S&C) channels in such a system. Considering different propagation environments of the S&C channels, two deep neural network (DNN) architectures are designed to realize this framework. The first DNN is devised …

abstract arxiv communication cs.lg eess.sp framework future intelligent irs networks paper sensing surface technologies type wireless