… problem, thus the computation complexity and estimation error performance … a deep Residual
channel Estimation Network (ReEsNet). Its architecture is optimized for channel estimation …

… , we apply deep learning to the channel estimation problem of OFDM. Precisely … channel
estimation, we design a channel estimation model based on attention mechanism and residual …

… the channel estimation as a denoising problem and adopt a deep residual learning (DReL)
approach to implicitly learn the … surface-enhanced OFDM: Channel estimation and reflection …

… deep learning– based channel estimation scheme in an orthogonal frequency division
multiplexing (OFDM) … we consider using a model based on deep learning for channel estimation. …

… DL-based OFDM channel estimation network. In this method, the time–frequency grid of the
channel … Yuan, “Deep residual learning for channel estimation in intelligent reflecting surface-…

… Residual learning, which is a powerful tool in image super-resolution, the deep residual
channel estimation … proposed in this paper for the OFDM channel estimation. The architecture of …

… division multiplexing (OFDM) in high-mobility scenarios. One challenge for OTFS channel
estimation is that the performance of modelbased estimators will drop dramatically in the …

… OFDM system, and the proposed system architecture with deep learning based channel
estimation … Without loss of generality, we consider an OFDM frame with N time slots and K …

… Nah, and KM Lee, “Enhanced deep residual networks for single image super-resolution,” in
… [32] JK Moon and SI Choi, “Performance of channel estimation methods for ofdm systems in …

… proposed, which can be used for channel estimation and signal detection in OFDM system
… OFDM channel estimation results by LS, the data is sent to our DNN for training. Since the …