Y
Youngchul Sung
Researcher at KAIST
Publications - 148
Citations - 2759
Youngchul Sung is an academic researcher from KAIST. The author has contributed to research in topics: MIMO & Communication channel. The author has an hindex of 28, co-authored 145 publications receiving 2498 citations. Previous affiliations of Youngchul Sung include Samsung & Cornell University.
Papers
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Journal ArticleDOI
Pilot Beam Pattern Design for Channel Estimation in Massive MIMO Systems
TL;DR: A new algorithm for pilot beam pattern design for optimal channel estimation under the assumption that the channel is a stationary Gauss-Markov random process that generates a sequentially-optimal sequence of pilot beam patterns with low complexity for a given set of system parameters.
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Randomly-Directional Beamforming in Millimeter-Wave Multiuser MISO Downlink
TL;DR: The performance of opportunistic random beamforming (RBF) and the multiuser (MU) gain in millimeter-wave MU multiple-input single-output (MISO) downlink systems are analyzed based on the uniform random single-path (UR-SP) channel model suitable for highly directional mm-wave radio propagation channels.
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Least Squares Approach to Joint Beam Design for Interference Alignment in Multiuser Multi-Input Multi-Output Interference Channels
Heejung Yu,Youngchul Sung +1 more
TL;DR: It is shown that the proposed algorithm for beam design for interference alignment has faster convergence and lower complexity than the previous method with a comparable sum rate performance in the most practical case of two receive antennas.
Posted Content
Randomly-Directional Beamforming in Millimeter-Wave Multi-User MISO Downlink
TL;DR: In this article, the performance of randomly-directional beamforming (RDB) and the MU gain in mm-wave MISO downlink systems were analyzed based on the uniform random line-of-sight (UR-LoS) channel model suitable for highly directional mmWave radio propagation channels.
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Two-Stage Beamformer Design for Massive MIMO Downlink By Trace Quotient Formulation
TL;DR: The proposed outer beamformer design method has the capability of optimally controlling the weighting factor between the signal power to the desired user and the interference leakage power to undesired users according to different channel statistics.