A two-part biLSTM model estimates environmental scattering from sequential pilots and adaptively tunes RIS configurations to achieve lower localization RMSE than random, codebook, or non-adaptive baselines in dynamic rich scattering environments.
Radio Localization and Mapping With Reconfigurable Intelligent Surfaces: Challenges, Opportunities, and Research Directions
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Adaptive RIS Configuration Design with Environmental Sensing for User Localization in Dynamic Rich Scattering Environment
A two-part biLSTM model estimates environmental scattering from sequential pilots and adaptively tunes RIS configurations to achieve lower localization RMSE than random, codebook, or non-adaptive baselines in dynamic rich scattering environments.