Networked twins and twins of networks: An overview on the relationship between digital twins and 6G

H Ahmadi, A Nag, Z Khar, K Sayrafian… - IEEE …, 2021 - ieeexplore.ieee.org
Digital twin (DT) is a promising technology for the new immersive digital life with a variety of
applications in areas such as Industry 4.0, aviation, and healthcare. Proliferation of this …

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 …

An efficient and lightweight predictive channel assignment scheme for multiband B5G-enabled massive IoT: A deep learning approach

S Sakib, T Tazrin, MM Fouda… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Multihop device-to-device (D2D)-enabled relay networks are envisaged to be utilized by the
Internet of Things (IoT) and massive machine-type communication (mMTC) traffic for the …

Digital-twin-enabled city-model-aware deep learning for dynamic channel estimation in urban vehicular environments

C Ding, IWH Ho - IEEE Transactions on Green Communications …, 2022 - ieeexplore.ieee.org
Most of the existing works on vehicle-to-everything (V2X) communications assume some
deterministic or stochastic channel models, which is unrealistic for highly-dynamic vehicular …

Deep learning for channel estimation: Interpretation, performance, and comparison

Q Hu, F Gao, H Zhang, S Jin… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Deep learning (DL) has emerged as an effective tool for channel estimation in wireless
communication systems, especially under some imperfect environments. However, even …

Deep learning-based channel estimation for doubly selective fading channels

Y Yang, F Gao, X Ma, S Zhang - IEEE Access, 2019 - ieeexplore.ieee.org
In this paper, online deep learning (DL)-based channel estimation algorithm for doubly
selective fading channels is proposed by employing the deep neural network (DNN). With …

Channel estimation using CNN-LSTM in RIS-NOMA assisted 6G network

C Nguyen, TM Hoang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The combination of non-orthogonal multiple access (NOMA) and reconfigurable intelligent
surface (RIS) technologies is proposed to meet the demands of data rate, latency, and …

An overview of wireless communication technology using deep learning

J Jiao, X Sun, L Fang, J Lyu - China Communications, 2021 - ieeexplore.ieee.org
With the development of 5G, the future wireless communication network tends to be more
and more intelligent. In the face of new service demands of communication in the future such …

Design of communication systems using deep learning: A variational inference perspective

V Raj, S Kalyani - IEEE Transactions on Cognitive …, 2020 - ieeexplore.ieee.org
Recent research in the design of end to end communication system using deep learning has
produced models which can outperform traditional communication schemes. Most of these …

The interplay of ai and digital twin: Bridging the gap between data-driven and model-driven approaches

L Bariah, M Debbah - IEEE Wireless Communications, 2024 - ieeexplore.ieee.org
The evolution of network virtualization and native artificial intelligence (AI) paradigms have
conceptualized the vision of future wireless networks as a comprehensive entity operating in …