Energy-efficient beamforming for RISs-aided communications: Gradient based meta learning

Maximizing energy-efficiency for RIS-UAV assisted mobile vehicles in cognitive networks

Z Wang, J Wen, M Zhao, L Yu, J He, D Hu - Physical Communication, 2024 - Elsevier
As an essential technology in the sixth generation of wireless communication, the
reconfigurable intelligent surface (RIS) offers transformative solutions for the evolution of …
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Robust beamforming for RIS-aided communications: Gradient-based manifold meta learning

F Zhu, X Wang, C Huang, Z Yang, X Chen… - arxiv preprint arxiv …, 2024 - arxiv.org
Reconfigurable intelligent surface (RIS) has become a promising technology to realize the
programmable wireless environment via steering the incident signal in fully customizable …
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Robust Beamforming with Gradient-based Liquid Neural Network

X Wang, F Zhu, C Huang, A Alhammadi… - arxiv preprint arxiv …, 2024 - arxiv.org
Millimeter-wave (mmWave) multiple-input multiple-output (MIMO) communication with the
advanced beamforming technologies is a key enabler to meet the growing demands of …
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Robust Continuous-Time Beam Tracking with Liquid Neural Network

F Zhu, X Wang, C Huang, R **, Q Yang… - arxiv preprint arxiv …, 2024 - arxiv.org
Millimeter-wave (mmWave) technology is increasingly recognized as a pivotal technology of
the sixth-generation communication networks due to the large amounts of available …
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Joint vehicular power and RIS reflection coefficient optimization to maximize the minimum bit rate in VANETs

J Zhu, D Li, X Chen - Physical Communication, 2024 - Elsevier
Reconfigurable intelligent surfaces (RISs) have recently gained significant attention for
improving reliability in vehicular communications. However, ensuring reliable …
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Gradient-Based Meta Learning for Uplink RSMA with Beyond Diagonal RIS

S Khisa, A Amhaz, M Elhattab, C Assi… - arxiv preprint arxiv …, 2024 - arxiv.org
Beyond diagonal reconfigurable intelligent surface (BD-RIS) has emerged as an innovative
and generalized RIS framework that provides greater flexibility in wave manipulation and …
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Geometry Aware Meta-Learning Neural Network for Joint Phase and Precoder Optimization in RIS

D Devapriya, S Kalyani - arxiv preprint arxiv:2409.11270, 2024 - arxiv.org
In reconfigurable intelligent surface (RIS) aided systems, the joint optimization of the
precoder matrix at the base station and the phase shifts of the RIS elements involves …
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