activity
20192026
most citedMassive MIMO Channel Prediction: Kalman Filtering vs. Machine Learning

154 citations · 258 across the 14 of their papers we have counts for

collaborators

14 papers

cs.IT2026

Beam Training for RIS-Aided ISAC Systems

Jinho Yang, Hyeongtaek Lee, Junil Choi

As a key technology for 6G, integrated sensing and communication (ISAC) is receiving considerable attention, and deploying a reconfigurable intelligent surface (RIS) can enhance bo…

cs.IT2025

Downlink Channel Estimation for mmWave Systems with Impulsive Interference

Kwonyeol Park, Gyoseung Lee, Hyeongtaek Lee +2

In this paper, we investigate a channel estimation problem in a downlink millimeter-wave (mmWave) multiple-input multiple-output (MIMO) system, which suffers from impulsive interfe…

cs.IT2025

Task-Based Quantization for Channel Estimation in RIS Empowered MmWave Systems

Gyoseung Lee, In-soo Kim, Yonina C. Eldar +4

In this paper, we investigate channel estimation for reconfigurable intelligent surface (RIS) empowered millimeter-wave (mmWave) multi-user single-input multiple-output communicati…

cs.IT2025★ 6 cited

Robust Transmission Design for Active RIS-Aided Systems

Jinho Yang, Hyeongtaek Lee, Junil Choi

Different from conventional passive reconfigurable intelligent surfaces (RISs), incident signals and thermal noise can be amplified at active RISs. By exploiting the amplifying cap…

cs.IT2024

An Experimental Multi-Band Channel Characterization in the Upper Mid-Band

Roberto Bomfin, Ahmad Bazzi, Hao Guo +5

The following paper provides a multi-band channel measurement analysis on the frequency range (FR)3. This study focuses on the FR3 low frequencies 6.5 GHz and 8.75 GHz with a setup…

cs.IT2024

RIS-Enabled Cellular Systems Operated by Different Service Providers

Hyeongtaek Lee, Junil Choi

In realistic cellular communication systems, multiple service providers will operate within different frequency ranges. Each serving cell, which is managed by a distinct service pr…

cs.IT2024

Multi-Group Multicasting Systems Using Multiple RISs

Hyeongtaek Lee, Seungsik Moon, Youngjoo Lee +3

In this paper, practical utilization of multiple distributed reconfigurable intelligent surfaces (RISs), which are able to conduct group-specific operations, for multi-group multic…

cs.IT2024

Joint Downlink and Uplink Optimization for RIS-Aided FDD MIMO Communication Systems

Gyoseung Lee, Hyeongtaek Lee, Donghwan Kim +3

This paper investigates reconfigurable intelligent surface (RIS)-aided frequency division duplexing (FDD) communication systems. Since the downlink and uplink signals are simultane…

cs.IT2023★ 21 cited

Channel Estimation for Reconfigurable Intelligent Surface with a few Active Elements

Gyoseung Lee, Hyeongtaek Lee, Jaeky Oh +2

In this paper, a channel estimation technique for reconfigurable intelligent surface (RIS)-aided multi-user multiple-input single-output communication systems is proposed. By deplo…

cs.IT2021★ 48 cited

Practical Channel Estimation and Phase Shift Design for Intelligent Reflecting Surface Empowered MIMO Systems

Sucheol Kim, Hyeongtaek Lee, Jihoon Cha +3

In this paper, channel estimation techniques and phase shift design for intelligent reflecting surface (IRS)-empowered single-user multiple-input multiple-output (SU-MIMO) systems…

cs.IT2021

Complete Power Reallocation for MU-MIMO under Per-Antenna Power Constraint

Sucheol Kim, Hyeongtaek Lee, Hwanjin Kim +2

This paper proposes a beamforming method under a per-antenna power constraint (PAPC). Although many beamformer designs with the PAPC need to solve complex optimization problems, th…

cs.IT2021★ 18 cited

Downlink Channel Reconstruction for Spatial Multiplexing in Massive MIMO Systems

Hyeongtaek Lee, Hyuckjin Choi, Hwanjin Kim +4

To get channel state information (CSI) at a base station (BS), most of researches on massive multiple-input multiple-output (MIMO) systems consider time division duplexing (TDD) to…

cs.IT2020★ 154 cited

Massive MIMO Channel Prediction: Kalman Filtering vs. Machine Learning

Hwanjin Kim, Sucheol Kim, Hyeongtaek Lee +3

This paper focuses on channel prediction techniques for massive multiple-input multiple-output (MIMO) systems. Previous channel predictors are based on theoretical channel models,…

eess.SP2019★ 11 cited

Efficient Channel AoD/AoA Estimation Using Widebeams for Millimeter Wave MIMO Systems

Hyeongtaek Lee, Sucheol Kim, Junil Choi

Using millimeter-wave (mmWave) bands is expected to provide high data rates through large licensed and unlicensed spectrum. Due to large path loss and sparse scattering propagation…