Active RIS Assisted Sup-Degree of Freedom Interference Suppression for Large Antenna Array: A Deep Learning Approach with Location Awareness

Z Zhang, H Cao, J Fan, J Peng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Radio frequency interference (RFI) generated by satellites orbiting the Earth has become a
significant threat to astronomical observations. Active reconfigurable intelligent surfaces …

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 …

Intelligent reflecting surface-assisted interference mitigation with deep reinforcement learning for radio astronomy

J Peng, H Cao, Z Ali, X Wu, J Fan - IEEE antennas and wireless …, 2022 - ieeexplore.ieee.org
Radio frequency interference (RFI) is a significant threat to astronomical observations. Thus,
this letter exploits the intelligent reflecting surfaces (IRSs) to mitigate RFI by adjusting the …

Optimization design in RIS-assisted integrated satellite-UAV-served 6G IoT: A deep reinforcement learning approach

M Wu, K Guo, X Li, A Nauman, K An… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Satellite networks have been emerged as a critical part of the next-generation wireless
networks. However, the high transmission latency, highly dynamic channel conditions and …

Deep‐learning‐based beamforming for rejecting interferences

P Ramezanpour, MJ Rezaei… - IET Signal Processing, 2020 - Wiley Online Library
Antenna arrays have been widely used for space and space–time processing to estimate the
desired signals in the presence of narrowband and wideband interferences. Estimating the …

Optimizing the Deployment of an Aerial Base Station and the Phase-Shift of a Ground Reconfigurable Intelligent Surface for Wireless Communication Systems Using …

WN Kabore, RT Juang, HP Lin, BA Tesfaw… - Information, 2024 - mdpi.com
In wireless networks, drone base stations (DBSs) offer significant benefits in terms of Quality
of Service (QoS) improvement due to their line-of-sight (LoS) transmission capabilities and …

System performance insights into design of RIS-assisted smart radio environments for 6G

M Toumi, A Aijaz - 2021 IEEE Wireless Communications and …, 2021 - ieeexplore.ieee.org
In state-of-the-art wireless networks, the radio environment is beyond the control of the
operators which leads to several issues. For example, signal attenuation limits radio …

Discrete phase shifts control and beam selection in RIS-aided MISO system via deep reinforcement learning

D Lin, Y Liu - China Communications, 2023 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) for wireless networks have drawn lots of attention in
both academic and industry communities. RIS can dynamically control the phases of 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 …

Reconfigurable Intelligent Surface-Aided Wireless Communication Considering Interference Suppression

T Van Luyen, L Van Thai, NM Tran… - … Conference on Ad Hoc …, 2023 - Springer
As the demand for efficient wireless communication grows, radio frequency (RF) wireless
communication emerges as a promising solution, facilitated by recent advancements in …