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

154 citations · 245 across the 12 of their papers we have counts for

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8 papers · 1 filter

cs.IT2024

UV-Plane Beam Mapping for Non-Terrestrial Networks in 3GPP System-Level Simulations

Dong-Hyun Jung, Sucheol Kim, Miyeon Lee +2

Due to the high altitudes and large beam sizes of satellites, the curvature of the Earth's surface can impact system-level performance. To consider this, 3GPP introduces the UV-pla…

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.IT2021★ 2 cited

Multi-Vehicle Velocity Estimation Using IEEE 802.11ad Waveform

Geonho Han, Sucheol Kim, Junil Choi

Wireless communication systems are to use millimeter-wave (mmWave) spectra, which can enable extra radar functionalities. In this paper, we propose a multi-target velocity estimati…

cs.IT2020★ 3 cited

Polar-Cap Codebook Design for MISO Rician Fading Channels with Limited Feedback

Sung Hyuck Hong, Sucheol Kim, Junil Choi +1

Most of the prior works on designing codebooks for limited feedback systems have not considered the presence of strong line-of-sight (LOS) channel component. This paper proposes th…

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,…

cs.IT2020★ 9 cited

Beam Designs for Millimeter-Wave Backhaul with Dual-Polarized Uniform Planar Arrays

Sucheol Kim, Junil Choi, Jiho Song

This paper proposes hybrid beamforming designs for millimeter-wave (mmWave) multiple-input multiple-output (MIMO) backhaul systems equipped with uniform planar arrays (UPAs) of dua…