AI-enabled data-driven channel modeling for future communications

M Yang, R He, B Ai, C Huang, C Wang… - IEEE …, 2023 - ieeexplore.ieee.org
Wireless channel modeling plays an essential role in the design of wireless communication
networks. The future integrated network with various applications and extended-spectrum …

Gnn-based power allocation and user association in digital twin network for the terahertz band

H Zhang, X Ma, X Liu, L Li, K Sun - IEEE Journal on Selected …, 2023 - ieeexplore.ieee.org
The digital twin (DT) and terahertz (THz) wireless communication technologies have
promoted the innovative development and application of 6G networks. Combining DT can …

Channel measurements and models for 6G: current status and future outlook

J Zhang, P Tang, L Yu, T Jiang, L Tian - Frontiers of information technology …, 2020 - Springer
With the commercialization of fifth generation networks worldwide, research into sixth
generation (6G) networks has been launched to meet the demands for high data rates and …

Towards deep learning-aided wireless channel estimation and channel state information feedback for 6G

W Kim, Y Ahn, J Kim, B Shim - Journal of Communications and …, 2023 - ieeexplore.ieee.org
Deep learning (DL), a branch of artificial intelligence (AI) techniques, has shown great
promise in various disciplines such as image classification and segmentation, speech …

Channel estimation enhancement with generative adversarial networks

T Hu, Y Huang, Q Zhu, Q Wu - IEEE transactions on cognitive …, 2020 - ieeexplore.ieee.org
Improving the accuracy of channel estimation is a significant topic in the context of wireless
communications. For training-based channel estimations, increasing the length of a training …

Resilient digital twin modeling: A transferable approach

J Song, S Liu, T Ma, Y Sun, F Tao, J Bao - Advanced Engineering …, 2023 - Elsevier
High-fidelity digital twin models include not only concrete geometric models but also intrinsic
models such as mechanism models and data models, which require high information …

Digital twins: A survey on enabling technologies, challenges, trends and future prospects

S Mihai, M Yaqoob, DV Hung, W Davis… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Digital Twin (DT) is an emerging technology surrounded by many promises, and potentials
to reshape the future of industries and society overall. A DT is a system-of-systems which …

Digital twin network: Opportunities and challenges

P Almasan, M Ferriol-Galmés, J Paillisse… - arXiv preprint arXiv …, 2022 - arxiv.org
The proliferation of emergent network applications (eg, AR/VR, telesurgery, real-time
communications) is increasing the difficulty of managing modern communication networks …

An introduction to digital twin standards

W Sun, W Ma, Y Zhou, Y Zhang - GetMobile: Mobile Computing and …, 2022 - dl.acm.org
Recently, both academia and industry have shown increasing interest in unlocking the
potential applications of digital twin. As an emerging technology, digital twin builds a virtual …

Overfitting and underfitting analysis for deep learning based end-to-end communication systems

H Zhang, L Zhang, Y Jiang - 2019 11th international conference …, 2019 - ieeexplore.ieee.org
In this paper, we study the deep learning (DL) based end-to-end transmission systems, then
we present the analysis for the underfitting and overfitting phenomena which happen during …