RoF distributed antenna architecture–and reinforcement learning–empowered real-time EMI immunity for highly reliable railway communication

W Bai, X Zou, P Li, Y Li, W Pan, L Yan, B Luo - Optics Express, 2021 - opg.optica.org
Highly reliable wireless train-ground communication immune to the electromagnetic
interferences (EMIs) is of critical importance for the security and efficiency of high-speed …

When mmWave high-speed railway networks meet reconfigurable intelligent surface: A deep reinforcement learning method

J Xu, B Ai - IEEE Wireless Communications Letters, 2021 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) is an efficient and promising way to enhance
millimeter-wave (mmWave) high-speed railway (HSR) network resilience. However, due to …

Deep reinforcement learning for interference suppression in RIS-aided high-speed railway networks

J Xu, B Ai, TQS Quek, Y Liuc - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
This paper investigates the reconfigurable intelligent surface (RIS)-aided high-speed railway
(HSR) network, where one RIS is deployed nearby the onboard mobile relay (MR) to …

Towards interference suppression: RIS-aided high-speed railway networks via deep reinforcement learning

J Xu, B Ai, TQS Quek - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
Providing satisfactory quality of service (QoS) in high-speed railway (HSR) network is being
strangled by external interference as well as jamming. To address this issue, we study the …

RIS-Assisted Robust Beamforming for UAV Anti-Jamming and Eavesdropping Communications: A Deep Reinforcement Learning Approach

C Zou, C Li, Y Li, X Yan - Electronics, 2023 - mdpi.com
The reconfigurable intelligent surface (RIS) has been widely recognized as a rising
paradigm for physical layer security due to its potential to substantially adjust the …

Active Reconfigurable Intelligent Surface-Assisted Mainlobe Wideband RFI Mitigation With Deep Reinforcement Learning for a Large Reflector Antenna

J Peng, H Cao, J Fan, Z Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
High-sensitivity geoscience and remote sensing instruments employing large reflector
antennas face a significant threat from radio frequency interferences (RFIs). In the presence …

Physical layer enhancement for next-generation railway communication systems

Q Li, JC Sibel, M Berbineau, I Dayoub, F Gallée… - IEEE …, 2022 - ieeexplore.ieee.org
This paper presents an overview of the challenges and state-of-the-art physical layer
enhancement designs for next-generation railway communication, also known as high …

Interference suppression for railway wireless communication systems: A reconfigurable intelligent surface approach

Z Ma, Y Wu, M Xiao, G Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Due to transmission of train control and dispatch commands, the ultra high reliability is
required for railway wireless communication systems (RWCS). However, the quality of …

Deep Learning-based EMI and IEMI Classification in 5G-R High-Speed Rail Wireless Communications

Y Fan, L Zhang, K Li, M Bao - IEEE proceedings of The 2024 …, 2024 - eprints.whiterose.ac.uk
The proliferation of high-speed rail (HSR) networks and railway electrification has advanced
the integration of the latest wireless communication networks with railway systems. Ensuring …

[图书][B] Reinforcement Learning for Maritime Communications

L Xiao, H Yang, W Zhuang, M Min - 2023 - Springer
This book demonstrates that the reliable and secure communication performance of
maritime communications can be significantly improved by using intelligent reflecting …