Deep-Learning-Assisted Configuration of Reconfigurable Intelligent Surfaces in Dynamic Rich-Scattering Environments

Author:

Stylianopoulos Kyriakos1,Shlezinger Nir2,del Hougne Philipp3,Alexandropoulos George C.1

Affiliation:

1. National and Kapodistrian University of Athens,Department of Informatics and Telecommunications,Athens,Greece,15784

2. Ben-Gurion University of the Negev,School of ECE,Beer-Sheva,Israel

3. Univ Rennes, CNRS, IETR - UMR 6164,Rennes,France,F-35000

Publisher

IEEE

Reference24 articles.

1. Adaptive Transmission for Reconfigurable Intelligent Surface-Assisted OFDM Wireless Communications

2. Spatiotemporal Wave Front Shaping in a Microwave Cavity

3. Optimally diverse communication channels in disordered environments with tuned randomness

4. Modeling and measurements for multi-path mitigation with reconfigurable intelligent surfaces;zhou,2021

5. Over-the-air equalization with reconfigurable intelligent surfaces;arslan,2021

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