5 papers
End-to-End Mobility-Aware Multi-RIS Optimization via Blockage Detection and Closed-Form Riemannian Updates
Sehyun Ryu, Seungmin Choi, Hyun Jong Yang +1
Millimeter-wave (mmWave) multi-user MIMO systems are highly susceptible to dynamic blockages, and reconfigurable intelligent surfaces (RIS) have been introduced as a remedy. Howeve…
Self-Supervised Pretraining for Transmission-Relevant MIMO CSI Representation
Sehyun Ryu, Yumin Kim, Minjae Lee +2
Self-supervised representation learning from unlabeled channel state information (CSI) can reduce labeling and adaptation overhead in learning-based multiple-input multiple-output…
Advancing Multi-Robot Networks via MLLM-Driven Sensing, Communication, and Computation: A Comprehensive Survey
Hyun Jong Yang, Howon Lee, Kyuhong Shim +10
Imagine advanced humanoid robots, powered by multimodal large language models (MLLMs), coordinating missions across industries like warehouse logistics, manufacturing, and safety r…
Blockage-Aware Multi-RIS Sensing and Optimization for mmWave Smart Radio Environments
Sehyun Ryu, Hyun Jong Yang
Millimeter-wave (mmWave) multi-user MIMO systems are highly vulnerable to blockage, and reconfigurable intelligent surfaces (RIS) have been proposed as a remedy. However, RIS links…
Standards-Compliant DM-RS Allocation via Temporal Channel Prediction for Massive MIMO Systems
Sehyun Ryu, Hyun Jong Yang
Reducing feedback overhead in beyond 5G networks is a critical challenge, as the growing number of antennas in modern massive MIMO systems substantially increases the channel state…