Author

Sehyun Ryu

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Preprint Aug 2026

End-to-End Mobility-Aware Multi-RIS Optimization via Blockage Detection and Closed-Form Riemannian Updates

This paper proposes an end-to-end mobility-aware multi-RIS optimization framework that integrates per-RIS blockage detection with closed-form Riemannian updates and jointly optimize the BS precoder and RIS phases using a Stochastic Closed-form Riemannian Phase Alignment algorithm.

Sehyun Ryu, Seung-Min Choi, Hyun Jong Yang et al. · 0 citations

Preprint Aug 2026

Temporal Channel Estimation for Generalized CSI Feedback

TAP is a one-shot neural framework that unifies the speed of DL with the mathematical interpretability of CS, replacing iterative pursuit with a lightweight 1D neural network that extracts dominant continuous propagation delays from temporal channel sequences via a differentiable sub-grid interpolation operator.

Minwoo Kim, Hyeonsu Lyu, Sehyun Ryu et al. · 0 citations

Preprint Aug 2026

LUCID: An Agentic AI Framework on Digital-Twin in the Loop for QoS-Guaranteeing Robotic Control

LUCID is presented, an LLM-agent--orchestrated, uplink-aware cloud-robotics pipeline that moves TP--RRM from solving a fixed formulation to dynamically orchestrating optimization problem schemas within a DITL environment and robustly adapts to changing intents, active-robot counts, and scenes.

Hyeonsu Lyu, Minwoo Kim, Sehyun Ryu et al. · 0 citations