2 citations · 4 across the 4 of their papers we have counts for
5 papers
Near-Field Channel Estimation for XL-RIS Assisted Multi-User XL-MIMO Systems: Hybrid Beamforming Architectures
Jeongjae Lee, Hyeongjin Chung, Yunseong Cho +2
Channel estimation is one of the key challenges for the deployment of extremely large-scale reconfigurable intelligent surface (XL-RIS) assisted multiple-input multiple-output (MIM…
Location-aware Channel Estimation for RIS-aided mmWave MIMO Systems via Atomic Norm Minimization
Hyeonjin Chung, Sunwoo Kim
In this paper, we propose a location-aware channel estimation based on the atomic norm minimization (ANM) for the reconfigurable intelligent surface (RIS)-aided millimeter-wave mul…
Atomic Norm Minimization-based Low-Overhead Channel Estimation for RIS-aided MIMO Systems
Hyeonjin Chung, Sunwoo Kim
Large beam training overhead has been considered as one of main issues in the channel estimation for reconfigurable intelligent surface (RIS)-aided systems. In this paper, we propo…
Experimental Demonstration of Location-aware Beam Alignment
Junyeol Hong, Hyeonjin Chung, Sunwoo Kim
The main focus of beam alignment is to find the optimal beam which yields the largest received signal strength (RSS) with faster speed.In this paper, we demonstrate an efficient be…
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…