Unsupervised Learning for Passive Beamforming

Reconfigurable intelligent surface (RIS) has recently emerged as a promising candidate to improve the energy and spectral efficiency of wireless communication systems. However, the unit modulus constraint on the phase shift of reflecting elements makes the design of optimal passive beamforming solut...

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Bibliographic Details
Published in:IEEE communications letters 2020-05, Vol.24 (5), p.1052-1056
Main Authors: Gao, Jiabao, Zhong, Caijun, Chen, Xiaoming, Lin, Hai, Zhang, Zhaoyang
Format: Article
Language:English
Subjects:
Antennas
Array signal processing
Artificial neural networks
Beamforming
Complexity
Complexity theory
Computer simulation
deep learning
Iterative algorithms
Iterative methods
Machine learning
passive beamforming
Real time
Reconfigurable intelligent surface
Supervised learning
Training
Unsupervised learning
Wireless communication
Wireless communication systems
Wireless communications
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