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 (GAN) has attracted wide attention because of its remarkable ability to learn high-dimensional and complex data distributions based on game …
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 (DTs) create fully-synchronized virtual representations of real-world systems, which can serve as interactive counterparts for artificial intelligence (AI) and machine …
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 …
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 …
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 …
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 …
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 …