To reduce the complexity of the channel estimation method and improve the estimation performance in the high-speed mobile scenario, a generative adversarial ...
Abstract—To reduce the complexity of the channel estimation method and improve the estimation performance in the high- speed mobile scenario, a generative ...
Using a general model for International Telecommunication Union (ITU) channel model, the aim of the paper is to find out the most suitable channel estimation ...
In this paper, a novel solution that exploits machine learning tools, namely conditional generative adversarial networks (GAN), is developed to learn these ...
Missing: High- Speed
The proposed federated generative adversarial network-enabled channel estimator provides high estimation accuracy and reduces the burden on pilots.
Apr 6, 2023 · In this paper, a two-stage channel-estimation method based on generative adversarial networks (cGAN) is proposed for MIMO-OFDM systems in high-mobility ...
Jun 17, 2024 · This paper presents a novel approach for channel estimation in high mobility scenarios using a reconstruction and recovery network.
Apr 6, 2023 · In this paper, a two-stage channel-estimation method based on generative adversarial networks (cGAN) is proposed for MIMO-OFDM systems in high- ...
This paper proposes a GAN-based channel estimation enhancement algorithm, where GANs are trained online with receive sequence so as to obtain a longer mimic ...
Missing: Mobile | Show results with:Mobile
People also ask
What is an example of a generative adversarial network?
What are generative adversarial networks best suited for?
In what sorts of applications are generative adversarial networks used?
How to train the generative adversarial network?
N2N-GAN achieves better robustness against noise compared with traditional channel estimation algorithms and deep learning-based methods.
Missing: High- | Show results with:High-