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Jae Hong Lee

Researcher at Seoul National University

Publications -  174
Citations -  5740

Jae Hong Lee is an academic researcher from Seoul National University. The author has contributed to research in topics: Fading & Rayleigh fading. The author has an hindex of 26, co-authored 174 publications receiving 5482 citations. Previous affiliations of Jae Hong Lee include Samsung.

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An overview of peak-to-average power ratio reduction techniques for multicarrier transmission

TL;DR: Some of the important PAPR reduction techniques for multicarrier transmission including amplitude clipping and filtering, coding, partial transmit sequence, selected mapping, interleaving, tone reservation, tone injection, and active constellation extension are described.
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Capacity of multiple-antenna fading channels: spatial fading correlation, double scattering, and keyhole

TL;DR: Taking into account realistic propagation environments in the presence of spatial fading correlation, double scattering, and keyhole effects, a closed-form expression for the ergodic capacity of independent Rayleigh-fading MIMO channels is presented and a tight upper bound for spatially correlated/double scattering MIMo channels is derived.
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PAPR reduction of OFDM signals using a reduced complexity PTS technique

TL;DR: It is shown that the proposed Partial transmit sequence technique achieves significant reduction in search complexity with little performance degradation.
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Performance analysis of space-time block codes over keyhole Nakagami-m fading channels

TL;DR: The keyhole significantly degrades the SER performance of the STBC from idealistic behaviors in independent identically distributed MIMO channels, and the moment generating function (MGF) of instantaneous signal-to-noise ratio (SNR) after space-time block decoding (signal combining) in such channels is derived.
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On the capacity of doubly correlated MIMO channels

TL;DR: This paper first derive the determinant representation for the exact characteristic function of the capacity, which is then used to determine the trace representations for the mean, variance, skewness, kurtosis, and other higher-order statistics (HOS).