… channel estimation in such high dimensional systems is to exploit stronger prior knowledge
of the channel … -based approach using deep generative networks for channel estimation. …

… deep generative models for frequency selective mmWave and THz channel estimation as
an … for narrowband channels [1]–[3], frequency-selective channels [4]– [6] and low-resolution …

… of signals at the receiver may benefit the accuracy of channel estimation. Therefore, motivated
by the above, we propose a channel estimation enhancement algorithm based on GANs. …

… channel estimation using deep score-based generative models. A model is trained to
estimate … This method trains a deep generative adversarial network (GAN) with a low-dimensional …

… c) CCMs estimated from imperfect CSI: Unreliable channel estimation results in imperfect
CSI. We start with a simplified error model here; one based on channel estimation from pilot …

… estimated channels can be obtained as either z0 = c0h or z1 = c1w. In summary, the blind
channel estimator … the channel estimates via the EVD. These steps are outlined in Algorithm 3. …

… quantized channel estimation. To be more specific, we will perform channel estimation from
… the input vector to a pre-trained deep generative model with the objective of maximizing the …

… In this article, we propose a Generative Adversarial Network (GAN) based channel …
Hasegawa-Johnson, and MN Do, “Semantic image inpainting with deep generative models,” in …

… In this paper, we propose a deep generative model (DGM)-based technique to address this
… and downlink channels, we first estimate the frequency-independent underlying channel …

… In this work, we leverage that body of research by adapting a modern GAN architecture to
our channel estimation problem. In [5], the authors train a generator that uses an input image …