Generative Network-based Channel Modeling and Generation for Air-to-Ground Communication Scenarios

Y Tian, H Li, Q Zhu, K Mao, F Ali… - IEEE …, 2024 - ieeexplore.ieee.org
In this letter, a novel conditional generative adversarial network (CGAN)-based channel
modeling method for A2G communication scenarios is proposed. The proposed method can …

A knowledge-driven meta-learning method for CSI feedback

H Xiao, W Tian, W Liu, Z Zhang, Z Shi… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
Accurate and effective channel state information (CSI) feedback is a key technology for
massive multiple-input and multiple-output (MIMO) systems. Recently, deep learning (DL) …

Joint Channel Estimation and Feedback with Masked Token Transformers in Massive MIMO Systems

M Zhao, L Liu, L Liu, M Li, Q Tian - arXiv preprint arXiv:2306.06125, 2023 - arxiv.org
The downlink channel state information (CSI) estimation and low overhead acquisition are
the major challenges for massive MIMO systems in frequency division duplex to enable high …

Channel Modeling of Spaceborne Multiwavelet Packet OFDM System Based on CWGAN

Z Wu, G Yang, M Nie, Y Liu, M Zhang - Proceedings of the 2022 5th …, 2022 - dl.acm.org
The physical layer of 5G mobile communication adopts the orthogonal frequency division
multiplexing (OFDM) technology based on Fast Fourier transform. High peak-to-average …

Enhanced Channel Modeling and Generation with Reconstructive Generative Adversarial Network

Y Huo, Z Deng, Y Gao, T Pan - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Advancements in deep learning (DL)-based wireless communications have been hindered
by the increasing complexity of channel modeling and the challenge of collecting high …