Generative adversarial networks based digital twin channel modeling for intelligent communication networks

Y Zhang, R He, B Ai, M Yang, R Chen… - China …, 2023 - ieeexplore.ieee.org
Integration of digital twin (DT) and wireless channel provides new solution of channel
modeling and simulation, and can assist to design, optimize and evaluate intelligent …

Data Augmentation for Predictive Digital Twin Channel: Learning Multi-Domain Correlations by Convolutional TimeGAN

G Liang, J Hu, K Yang, S Song, T Liu… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
In order to realize advanced system design for the sophisticated mobile networks, predictive
digital twin (DT) channel is constructed via data-driven approaches to provide high-accuracy …

ChannelGAN: Deep learning-based channel modeling and generating

H Xiao, W Tian, W Liu, J Shen - IEEE Wireless …, 2022 - ieeexplore.ieee.org
The increasing complexity on channel modeling and the cost on collecting plenty of high-
quality wireless channel data have become the main bottlenecks of developing deep …

Beyond 5G for digital twins of UAVs

Z Lv, D Chen, H Feng, R Lou, H Wang - Computer Networks, 2021 - Elsevier
The purpose is to explore the application effects and limitations of Unmanned Aerial Vehicle
(UAV) in 5G/B5G (Beyond 5G) mobile and wireless communication. Based on …

Deep learning based traffic prediction method for digital twin network

J Lai, Z Chen, J Zhu, W Ma, L Gan, S Xie, G Li - Cognitive Computation, 2023 - Springer
Network traffic prediction (NTP) can predict future traffic leveraging historical data, which
serves as proactive methods for network resource planning, allocation, and management …

Generative-adversarial-network-based wireless channel modeling: Challenges and opportunities

Y Yang, Y Li, W Zhang, F Qin, P Zhu… - IEEE Communications …, 2019 - ieeexplore.ieee.org
In modern wireless communication systems, wireless channel modeling has always been a
fundamental task in system design and performance optimization. Traditional channel …

A learning-based end-to-end wireless communication system utilizing a deep neural network channel module

Y An, S Wang, L Zhao, Z Ji, I Ganchev - IEEE Access, 2023 - ieeexplore.ieee.org
The existing end-to-end (E2E) wireless communication systems require fewer
communication modules and have a simple processing signal flow, compared to …

Survey on digital twin edge networks (DITEN) toward 6G

F Tang, X Chen, TK Rodrigues… - IEEE Open Journal of …, 2022 - ieeexplore.ieee.org
The next generation (6G) wireless systems aim to cater to the Internet of Everything (IoE)
and revolutionize customer services and applications to a fully intelligent and autonomous …

A big data enabled channel model for 5G wireless communication systems

J Huang, CX Wang, L Bai, J Sun, Y Yang… - … Transactions on Big …, 2018 - ieeexplore.ieee.org
The standardization process of the fifth generation (5G) wireless communications has
recently been accelerated and the first commercial 5G services would be provided as early …

A GAN-LSTM based AI framework for 6G wireless channel prediction

Z Li, CX Wang, J Huang, W Zhou… - 2022 IEEE 95th …, 2022 - ieeexplore.ieee.org
Compared with conventional passive channel modeling, artificial intelligence (AI) based
channel models show great advantages in solving real-time prediction problems in wireless …