collaborators

6 papers

eess.SP2026

Test-Time Scalable AI-RAN: Inference Time Allocation for Cell-Free MIMO

Seonghoon Yoo, Sangwoo Park, Seok-Hwan Park +1

Artificial intelligence-enabled radio access networks (AI-RANs) are envisioned to consist of multiple AI-based modules, potentially developed independently by different vendors. In…

cs.LG2026

Reliable Wireless Indoor Localization via Cross-Validated Prediction-Powered Calibration

Seonghoon Yoo, Houssem Sifaou, Sangwoo Park +2

Wireless indoor localization using predictive models with received signal strength information (RSSI) requires proper calibration for reliable position estimates. One remedy is to…

cs.ET2026

Resource Allocation and AoI-Aware Detection for ISAC with Stacked Intelligent Metasurfaces

Elaheh Ataeebojd, Nhan Thanh Nguyen, Seonghoon Yoo +4

Stacked intelligent metasurfaces (SIMs) provide wave-domain degrees of freedom that can empower integrated sensing and communication (ISAC) through flexible beampattern synthesis a…

eess.SY2026

Robust Beamforming Design for Coherent Distributed ISAC with Statistical RCS and Phase Synchronization Uncertainty

Seonghoon Yoo, Seulhyun Kwon, Kawon Han +3

Distributed integrated sensing and communication (D-ISAC) enables multiple spatially distributed nodes to cooperatively perform sensing and communication. However, achieving cohere…

eess.SP2025

Exploring the Near and Far-Field Coexistence for RIS-Assisted ISAC Systems: An Adaptive Bandwidth Splitting Approach

Seonghoon Yoo, Jaemin Jung, Seongah Jeong +3

Integrated sensing and communication (ISAC) enables the joint use of spectrum and hardware resources for radar sensing and data transmission, serving as a key enabler of next-gener…

eess.SP2025

Calibrating Wireless AI via Meta-Learned Context-Dependent Conformal Prediction

Seonghoon Yoo, Sangwoo Park, Petar Popovski +2

Modern software-defined networks, such as Open Radio Access Network (O-RAN) systems, rely on artificial intelligence (AI)-powered applications running on controllers interfaced wit…