Multi-Group Multicasting Using Reconfigurable Intelligent Surfaces: A Deep Learning Approach

Thanks to the ability to customize the propagation of wireless signals, reconfigurable intelligent surfaces (RISs) have great potential in enhancing the performance of future wireless communication systems. While the majority of papers in the literature considers single-RIS scenarios, the potential...

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Vydáno v:	IEEE transactions on wireless communications Ročník 24; číslo 6; s. 5337 - 5351
Hlavní autoři:	Ding, Chunxia, Jin, Weijie, Li, Xiao, Matthaiou, Michail, Yi, Xinping, Jin, Shi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.06.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Approximation algorithms Array signal processing Beamforming Channel estimation Complexity Constraints Deep learning gradient descent Imperfect CSI model-driven deep learning multicast Multicast algorithms Multicasting Optimization Parameters Performance enhancement Reconfigurable intelligent surfaces Simulation System performance Training Wireless communication Wireless communication systems
ISSN:	1536-1276, 1558-2248
On-line přístup:	Získat plný text
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