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.
Self-Adaptive RISs Beyond Free Space: Convergence of Localization, Sensing, and Communication Un- der Rich-Scattering Conditions
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
eess.SP 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
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
-
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.
-
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.