Twelve scientific challenges for 6G: Rethinking the foundations of communications theory
The research in the sixth generation of wireless networks needs to tackle new challenges in
order to meet the requirements of emerging applications in terms of high data rate, low …
order to meet the requirements of emerging applications in terms of high data rate, low …
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 …
and more intelligent. In the face of new service demands of communication in the future such …
Machine learning-based 5G-and-beyond channel estimation for MIMO-OFDM communication systems
Channel estimation plays a critical role in the system performance of wireless networks. In
addition, deep learning has demonstrated significant improvements in enhancing the …
addition, deep learning has demonstrated significant improvements in enhancing the …
Deep learning for channel tracking in IRS-assisted UAV communication systems
To boost the performance of wireless communication networks, unmanned aerial vehicles
(UAVs) aided communications have drawn dramatically attention due to their flexibility in …
(UAVs) aided communications have drawn dramatically attention due to their flexibility in …
A survey on deep learning based channel estimation in doubly dispersive environments
AK Gizzini, M Chafii - IEEE Access, 2022 - ieeexplore.ieee.org
Wireless communications systems are impacted by multi-path fading and Doppler shift in
dynamic environments, where the channel becomes doubly-dispersive and its estimation …
dynamic environments, where the channel becomes doubly-dispersive and its estimation …
Temporal averaging LSTM-based channel estimation scheme for IEEE 802.11 p standard
In vehicular communications, reliable channel estimation is critical for the system
performance due to the doubly-dispersive nature of vehicular channels. IEEE 802.11 p …
performance due to the doubly-dispersive nature of vehicular channels. IEEE 802.11 p …
Deep learning based physical layer security for terrestrial communications in 5G and beyond networks: A survey
The key principle of physical layer security (PLS) is to permit the secure transmission of
confidential data using efficient signal-processing techniques. Also, deep learning (DL) has …
confidential data using efficient signal-processing techniques. Also, deep learning (DL) has …
Channel estimation based on deep learning in vehicle-to-everything environments
Channel estimation in vehicle-to-everything (V2X) communications is a challenging issue
due to the fast time-varying and non-stationary characteristics of wireless channel. To grasp …
due to the fast time-varying and non-stationary characteristics of wireless channel. To grasp …
Domain generalization in machine learning models for wireless communications: Concepts, state-of-the-art, and open issues
Data-driven machine learning (ML) is promoted as one potential technology to be used in
next-generation wireless systems. This led to a large body of research work that applies ML …
next-generation wireless systems. This led to a large body of research work that applies ML …
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 …
deterministic or stochastic channel models, which is unrealistic for highly-dynamic vehicular …