118 citations · 485 across the 87 of their papers we have counts for
6 papers · 1 filter
Neural Architectural Nonlinear Pre-Processing for mmWave Radar-based Human Gesture Perception
Hankyul Baek, Yoo Jeong, Ha +3
In modern on-driving computing environments, many sensors are used for context-aware applications. This paper utilizes two deep learning models, U-Net and EfficientNet, which consi…
Seq2Seq-SC: End-to-End Semantic Communication Systems with Pre-trained Language Model
Ju-Hyung Lee, Dong-Ho Lee, Eunsoo Sheen +2
In this work, we propose a realistic semantic network called seq2seq-SC, designed to be compatible with 5G NR and capable of working with generalized text datasets using a pre-trai…
Joint Pilot Design and Channel Estimation using Deep Residual Learning for Multi-Cell Massive MIMO under Hardware Impairments
Byungju Lim, Won Joon Yun, Joongheon Kim +1
In multi-cell massive MIMO systems, channel estimation is deteriorated by pilot contamination and the effects of pilot contamination become more severe due to hardware impairments.…
Distributed and Autonomous Aerial Data Collection in Smart City Surveillance Applications
Haemin Lee, Soyi Jung, Joongheon Kim
The massive growth of Smart City and Internet of Things applications enables safety and security. The data those are produced from surveillance cameras in aerial devices such as un…
Multi-Agent Deep Reinforcement Learning for Cooperative Connected Vehicles
Dohyun Kwon, Joongheon Kim
Millimeter-wave (mmWave) base station can offer abundant high capacity channel resources toward connected vehicles so that quality-of-service (QoS) of them in terms of downlink thr…
Dynamic Power Allocation and User Scheduling for Power-Efficient and Low-Latency Communications
Minseok Choi, Joongheon Kim, Jaekyun Moon
In this paper, we propose a joint dynamic power control and user pairing algorithm for power-efficient and low-latency hybrid multiple access systems. In a hybrid multiple access s…