… refined channel estimation. That is, our neural network-based channel estimation algorithm
… Jin, and GY Li, “Deep learning-based channel estimation for beamspace mmWave massive …

… propose a deep learning based algorithm for downlink channel estimation for 5G new radio.
The … In this paper, we propose a DL based channel estimation method for time-varying and …

… As a proof-of-concept, we applied the ANN based channel estimation on simulated data.
The simulation method is outlined in Figure.1. For the given set of parameters as outlined in …

… In this article, we have studied deep learning based channel estimation scheme for the …
an optimized neural network model which can intelligently design pilot and estimate channels. …

… estimation techniques, and seek means to alleviate these security risks. … of deep learningbased
channel estimation and seek feasible adversarial machine learning attacks on wireless …

… a deep learning assisted blind channel estimation technique for orthogonal frequency division
multiplexing (OFDM) based … of the massive MIMO channels, the channel distortion can be …

… for estimating the channel. In order to have better explanations of machine learning-based
mmWave channel estimation approaches, we adopt an emerging deep neural network based …

… than conventional channel estimator. In [22], the DL-based channel estimator was proved …
, we explore novel channel estimation techniques with deep learning architecture to reliably …

… For the OMP-based channel estimation scheme, we consider that the sparsity level of the
beamspace channel vector is S = 24. For the AMP-based channel estimation scheme, we set …

… ) systems introduce the much higher channel dimensionality and incur the additional … channel
estimation. In this article, an XL-MIMO channel network (XLCNet) is developed to estimate …