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.
Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead
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SIM-aided near-field channel and localization estimation via multiport network theory achieves performance comparable to fully digital solutions with drastically fewer RF chains.
A biLSTM controller adaptively senses RIS-assisted rich scattering environments and designs beamforming vectors to achieve low UE localization error in simulations.
citing papers explorer
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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.
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SIM-Aided Near-Field Channel and Localization Estimation With Dimensionality Reduction: A Multiport Network Theory Approach
SIM-aided near-field channel and localization estimation via multiport network theory achieves performance comparable to fully digital solutions with drastically fewer RF chains.
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Integrated Sensing, User Location and Orientation Estimation in RIS-Assisted Dynamic Rich Scattering Environment
A biLSTM controller adaptively senses RIS-assisted rich scattering environments and designs beamforming vectors to achieve low UE localization error in simulations.