Learning RIS Configuration with Quantized Responses: A Neuroevolution-Trained Multi-Branch Attention Convolutional Neural Network

In this paper, we consider the problem of jointly controlling the configuration of a Reconfigurable Intelligent Surface (RIS) with unit elements of quantized responses and a codebook-based transmit precoder in RIS-empowered multiple-input single-output communication systems. The adjustable elements...

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Bibliographic Details

Published in:	IEEE International Conference on Communications workshops pp. 1894 - 1899
Main Authors:	Stamatelis, George, Stylianopoulos, Kyriakos, Alexandropoulos, George C.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 08.06.2025
Subjects:	adaptive decision making attention network Benchmark testing Conferences Convolutional neural networks deep neuroevolution MISO Optimization Performance evaluation Precoding Real-time systems Reconfigurable intelligent surface Reconfigurable intelligent surfaces Vectors
ISSN:	2694-2941
Online Access:	Get full text
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