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Junghoon Lee

Researcher at Hankuk University of Foreign Studies

Publications -  95
Citations -  945

Junghoon Lee is an academic researcher from Hankuk University of Foreign Studies. The author has contributed to research in topics: MIMO & Beamforming. The author has an hindex of 15, co-authored 95 publications receiving 840 citations. Previous affiliations of Junghoon Lee include North Carolina State University & KAIST.

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Journal ArticleDOI

Enhanced Secrecy in Stochastic Wireless Networks: Artificial Noise With Secrecy Protected Zone

TL;DR: Numerical results show that artificial noise is still beneficial in the presence of inherent network interference to improve secrecy transmission rate and provide rules of thumb to quantify when optimal power allocation is useful.
Journal Article

A Robust Speed Control of Brushless Direct Drive Motor Using Integral Variable Structure Control

TL;DR: In this article, a robust speed control technique for a brushless direct-drive motor (BLDDM) using a variable structure control (VSC) approach is presented, where the robustness against unknown disturbance can be improved in the transient state and the steady state error can be minimised by an integral action.
Journal ArticleDOI

Transcriptional Activation of the Aldehyde Reductase YqhD by YqhC and Its Implication in Glyoxal Metabolism of Escherichia coli K-12

TL;DR: YqhC is proposed to be a transcriptional activator of YqhD, which acts as an aldehyde reductase with specificity for certain aldehydes, including GO.
Journal ArticleDOI

Multiuser Diversity for Secrecy Communications Using Opportunistic Jammer Selection: Secure DoF and Jammer Scaling Law

TL;DR: For the jamming signal alignment at Bob, the scaling law of the required number of jammers for target secure DoF is found by a geometrical interpretation of the received signals.
Proceedings ArticleDOI

Opportunistic Interference Aligned User Selection in Multiuser MIMO Interference Channels

TL;DR: The proposed opportunistic interference aligned user selection (OIAUS) schemes combined with various postprocessing vectors are shown to achieve notable capacity compared to conventional opportunistic user selection schemes while they significantly reduce not only the amount of feedback information but also computational complexity.