9 citations · 11 across the 3 of their papers we have counts for
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…
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,…
Adaptive Beamwidth Control for mmWave Beam Tracking
Hyeonjin Chung, Sunwoo Kim
Traditional beam tracking methods have severe performance loss under the high mobility and narrow beam scenario. To alleviate the tracking performance degradation, we propose an ad…
Location-aware Beam Alignment for mmWave Communications
Orikumhi Igbafe, Jeongwan Kang, Henk Wymeersch +1
Beam alignment is required in millimeter wave communication to ensure high data rate transmission. However, with narrow beamwidth in massive MIMO, beam alignment could be computati…