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 …

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 …

Deep learning optimized sparse antenna activation for reconfigurable intelligent surface assisted communication

S Zhang, S Zhang, F Gao, J Ma… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) is a revolutionary technology for achieving high rate
and large coverage in future wireless networks by smartly reflecting the signals with …

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 …

Joint deployment design and phase shift of IRS-assisted 6G networks: An experience-driven approach

F Naeem, M Qaraqe, H Celebi - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
The performance of wireless networks is constrained by the dynamic and random nature of
the wireless channels. Intelligent reflecting surface (IRS) is a promising approach that can …

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 …

Multi-agent deep reinforcement learning for beam codebook design in RIS-aided systems

A Abdallah, A Celik, MM Mansour… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Reconfigurable intelligent surfaces (RISs) play a vital role in future wireless systems with the
capability of enhancing propagation environments by intelligently reflecting the signals …

A Light-weight Learning Framework for RIS-assisted Beamforming Design with Mobile Edge Computing

Z Chen, J Ye, P Zhang, H Rizk… - 2023 IEEE/CIC …, 2023 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) serves as a promising paradigm for improving the
spectral efficiency of wireless networks. However, the ubiquitous RISs in the future networks …

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 …

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 …