… relies on accurate channel estimation. While the acquisition of channel state information (CSI) …
, we propose a deep learning assisted blind channel estimation technique for orthogonal …

… improve the estimation accuracy of highly separable channels with … -aided DL channel
estimation framework for conventional massive MIMO systems and devise an embedding method …

… of channel knowledge and transmission mode selection. In this paper, a novel deep learning
… (SNR) information in both the conventional and learningaided methods. Hence, accurate …

… channel estimation method with the assistance of deep learning in order to support the least
squares estimation… to point out the assistance of deep learning to channel estimation for 5G …

… massive MIMO channel estimation approach. We use DL for channel estimation mainly due
… First, according to the universal approximation theory, deep neural networks can approach …

… above approaches, we study the channel estimation problem in uplink multiuser IRS-assisted …
Specifically, two DL-based approaches are proposed with the promising learning ability to …

… and mapping ability of deep learning, we design two MIMO … into two subnetworks: channel
estimation and signal detection … • Inspired by the main methods of deep learning application …

… paper, online deep learning (DL)-based channel estimation … channels is proposed by
employing the deep neural network (… features of channel variation from previous channel …

… the globallyoptimal MMSE channel estimator, we propose data-driven non-linear solutions
based on deep learning. Specifically, by posing the MMSE channel estimation problem as an …

… on the channel estimation problem in an IRS-assisted ISAC … approach is proposed to
decouple the estimation problem into sub-ones, including the estimation of the direct SAC channels …