activity
20222025
most citedMassive MIMO Channel Prediction Using Machine Learning: Power of Domain Transformation

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT2025★ 2 cited

Anomaly Detection-Based UE-Centric Inter-Cell Interference Suppression

Kwonyeol Park, Hyuckjin Choi, Beomsoo Ko +7

The increasing spectral reuse can cause significant performance degradation due to interference from neighboring cells. In such scenarios, developing effective interference suppres…

cs.IT2025

Analysis of Beam Misalignment Effect in Inter-Satellite FSO Links

Minje Kim, Hongjae Nam, Beomsoo Ko +4

Free-space optical (FSO) communication has emerged as a promising technology for inter-satellite links (ISLs) due to its high data rate, low power consumption, and reduced interfer…

cs.IT2024

Machine Learning-based Channel Prediction in Wideband Massive MIMO Systems with Small Overhead for Online Training

Beomsoo Ko, Hwanjin Kim, Minje Kim +1

Channel prediction compensates for outdated channel state information in multiple-input multiple-output (MIMO) systems. Machine learning (ML) techniques have recently been implemen…

cs.IT2022★ 2 cited

Massive MIMO Channel Prediction Using Machine Learning: Power of Domain Transformation

Beomsoo Ko, Hwanjin Kim, Junil Choi

To compensate the loss from outdated channel state information in wideband massive multiple-input multipleoutput (MIMO) systems, channel prediction can be performed by leveraging t…

cs.IT2022

Coverage Increase at THz Frequencies: A Cooperative Rate-Splitting Approach

Hyesang Cho, Beomsoo Ko, Bruno Clerckx +1

Numerous studies claim that terahertz (THz) communication will be an essential piece of sixth-generation wireless communication systems. Its promising potential also comes with maj…