Quality-of-experience evaluation for digital twins in 6G network environments

Z Zhang, Y Zhou, L Teng, W Sun, C Li… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
As wireless technology continues its rapid evolution, the sixth-generation (6G) networks are
capable of offering exceptionally high data transmission rates as well as low latency, which …

Machine learning for wireless communication channel modeling: An overview

SM Aldossari, KC Chen - Wireless Personal Communications, 2019 - Springer
Channel modeling is fundamental to design wireless communication systems. A common
practice is to conduct tremendous amount of channel measurement data and then to derive …

Generative adversarial network for wireless communication: Principle, application, and trends

C Zou, F Yang, J Song, Z Han - IEEE Communications …, 2023 - ieeexplore.ieee.org
Generative adversarial network (GAN) has attracted wide attention because of its
remarkable ability to learn high-dimensional and complex data distributions based on game …

C-GRBFnet: A physics-inspired generative deep neural network for channel representation and prediction

Z Xiao, Z Zhang, C Huang, X Chen… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
In this paper, we aim to efficiently and accurately predict the static channel impulse response
(CIR) with only the user's position information and a set of channel instances obtained within …

Digital twins for next-generation mobile networks: Applications and solutions

N Apostolakis, LE Chatzieleftheriou… - IEEE …, 2023 - ieeexplore.ieee.org
Digital Twins (DTs) create fully-synchronized virtual representations of real-world systems,
which can serve as interactive counterparts for artificial intelligence (AI) and machine …

Deep learning-based end-to-end wireless communication systems with conditional GANs as unknown channels

H Ye, L Liang, GY Li, BH Juang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, we develop an end-to-end wireless communication system using deep neural
networks (DNNs), where DNNs are employed to perform several key functions, including …

Adaptive edge association for wireless digital twin networks in 6G

Y Lu, S Maharjan, Y Zhang - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Sixth-generation (6G) is envisioned to be characterized by ubiquitous connectivity,
extremely low latency, and enhanced edge intelligence. However, enriching 6G with these …

Deep learning methods in communication systems: A review

F Liao, S Wei, S Zou - Journal of Physics: Conference Series, 2020 - iopscience.iop.org
With the rapid development of modern communication systems, the amount of data has
exploded, the system structure has become increasingly complex, and existing …

Deep-learning-based spatial–temporal channel prediction for smart high-speed railway communication networks

T Zhou, H Zhang, B Ai, C Xue… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Intelligent channel prediction plays a key role in artificial intelligence (AI)-optimized or AI-
native communication networks for smart high-speed railways (HSRs). This paper …

Unified mandarin tts front-end based on distilled bert model

Y Zhang, L Deng, Y Wang - arXiv preprint arXiv:2012.15404, 2020 - arxiv.org
The front-end module in a typical Mandarin text-to-speech system (TTS) is composed of a
long pipeline of text processing components, which requires extensive efforts to build and is …