468 citations · 1.9k across the 64 of their papers we have counts for
10 papers · 1 filter
Massive MIMO Channel Prediction Via Meta-Learning and Deep Denoising: Is a Small Dataset Enough?
Hwanjin Kim, Junil Choi, David J. Love
Accurate channel knowledge is critical in massive multiple-input multiple-output (MIMO), which motivates the use of channel prediction. Machine learning techniques for channel pred…
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To compensate the loss from outdated channel state information in wideband massive multiple-input multipleoutput (MIMO) systems, channel prediction can be performed by leveraging t…
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…
Radar Imaging Based on IEEE 802.11ad Waveform in V2I Communications
Geonho Han, Junil Choi, Robert W. Heath
Since most of vehicular radar systems are already exploiting millimeter-wave (mmWave) spectra, it would become much more feasible to implement a joint radar and communication syste…
On the Physical Layer Security of Visible Light Communications Empowered by Gold Nanoparticles
Geonho Han, Hyuckjin Choi, Ryeong Myeong Kim +3
Visible light is a proper spectrum for secure wireless communications because of its high directivity and impermeability in indoor scenarios. However, if an eavesdropper is located…
Gridless Channel Estimation for MmWave Hybrid Massive MIMO Systems with Low-Resolution ADCs
In-soo Kim, Junil Choi
This paper proposes the Newtonized fully corrective forward greedy selection-cross validation-based (NFCFGS-CV-based) channel estimator for millimeter (mmWave) hybrid massive multi…