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Machine Learning based Radio Environment Map Estimation for Indoor Visible Light Communication
This paper presents a machine learning-based methodology for constructing optical Radio Environment Maps (REMs) for indoor visible light communication (VLC) systems. First, REM estimation is evaluated using configurable simulated datasets generated by a physics-based indoor VLC simulator. The select
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