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Eui-Rim Jeong
Researcher at Hanbat National University
Publications - 85
Citations - 1009
Eui-Rim Jeong is an academic researcher from Hanbat National University. The author has contributed to research in topics: Predistortion & Amplifier. The author has an hindex of 14, co-authored 68 publications receiving 799 citations. Previous affiliations of Eui-Rim Jeong include KT Corporation & KAIST.
Papers
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Journal ArticleDOI
A Two-Step Approach to Power Allocation for OFDM Signals Over Two-Way Amplify-and-Forward Relay
TL;DR: A two-way relay channel (TWRC) in which two terminals T 1 and T 2 exchange orthogonal frequency division multiplexing (OFDM) signals with the help of an amplify-and-forward (AF) relay T 3 is considered here, and an efficient technique for allocating powers to N parallel tones of OFDM is developed.
Journal ArticleDOI
Towards the swift prediction of the remaining useful life of lithium-ion batteries with end-to-end deep learning
TL;DR: This paper presents the first full end-to-end deep learning framework for the swift prediction of lithium-ion battery remaining useful life by considering temporal patterns and cross-data correlations in the raw data, specifically, terminal voltage, current, and cell temperature.
Proceedings Article
Pre-Nulling for Self-Interference Suppression in Full-Duplex Relays
TL;DR: It is shown that self-interferences can be efficiently suppressed by pre-nulling without degrading bit error rate (BER) performance of the destination receiver in the flat channel environment.
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Data-aided approach to I/Q mismatch and DC offset compensation in communication receivers
TL;DR: A digital signal processing technique for compensating both the I/Q mismatch and the DC offset in communication receivers is derived with an emphasis on direct-conversion architectures using a training sequence.
Journal ArticleDOI
Adaptive Predistortion With Direct Learning Based on Piecewise Linear Approximation of Amplifier Nonlinearity
TL;DR: An efficient Wiener model for a power amplifier (PA) is proposed and a direct learning predistorter (PD) based on the model is developed, which is referred to as the piecewise RLS (PWRLS) algorithm.