5 papers
Sensing-Aided Vehicular Beam Tracking: System Gain Over Link Feedback and Probe-Verified Sensing Invocation
Jeongwan Kang, Miguel Bordallo López, Nhan Thanh Nguyen +2
Sensor-based beam prediction is usually evaluated against exhaustive beam training, leaving open when sensing adds useful information beyond a deployed tracker's link feedback and…
Radar-Only Long-Term Beam Prediction in mmWave Vehicular Networks: An Empirical Study of Doppler Input and Cross-Modal Distillation
Jeongwan Kang, Miguel Bordallo López, Nhan Thanh Nguyen +2
Sensing-aided beam prediction could cut the beam-training overhead of millimeter-wave vehicular links, and two design choices could strengthen a radar-only predictor: a Doppler-res…
Blocker-Aware Beamforming and Dynamic Power Allocation for Multicarrier ISAC-NOMA Systems
Abdulahi Abiodun Badrudeen, Nakyung Lee, Adam Dubs +1
This paper proposes a blocker-aware multicarrier integrated sensing and communication (ISAC)-non orthogonal multiple access (NOMA) system, leveraging hybrid beamforming and dynamic…
Deep Learning and Matrix Completion-aided IoT Network Localization in the Outlier Scenarios
Sunwoo Kim
In this paper, we propose a deep learning and matrix completion aided approach for recovering an outlier contaminated Euclidean distance matrix D in IoT network localization. Unlik…
Near-Field Localization with RIS via Two-Dimensional Signal Path Classification
Jeongwan Kang, Seung-Woo Ko, Sunwoo Kim
In this paper, we propose two-dimensional signal path classification (2D-SPC) for reconfigurable intelligent surface (RIS)-assisted near-field (NF) localization. In the NF regime,…