19 citations · 27 across the 5 of their papers we have counts for
5 papers
Spectrum Sharing through Marketplaces for O-RAN based Non-Terrestrial and Terrestrial Networks
Jinho Choi, Bohai Li, Bassel Al Homssi +2
Non-terrestrial networks (NTNs), including low Earth orbit (LEO) satellites, are expected to play a pivotal role in achieving global coverage for Internet-of-Things (IoT) applicati…
Joint Data Deepening-and-Prefetching for Energy-Efficient Edge Learning
Sujin Kook, Won-Yong Shin, Seong-Lyun Kim +1
The vision of pervasive machine learning (ML) services can be realized by training an ML model on time using real-time data collected by internet of things (IoT) devices. To this e…
Two-Stage Deep Anomaly Detection with Heterogeneous Time Series Data
Kyeong-Joong Jeong, Jin-Duk Park, Kyusoon Hwang +2
We introduce a data-driven anomaly detection framework using a manufacturing dataset collected from a factory assembly line. Given heterogeneous time series data consisting of oper…
Most Efficient Sensor Network Protocol for a Permanent Natural Disaster Monitoring System
Changmin Lee, Seong-Lyun Kim
To minimize enormous havoc from disasters, permanent environment monitoring is necessarily required. Thus we propose a novel energy management protocol for energy harvesting wirele…
Sense-and-Predict: Harnessing Spatial Interference Correlation for Cognitive Radio Networks
Seunghwan Kim, Han Cha, Jeemin Kim +2
Cognitive radio (CR) is a key enabler realizing future networks to achieve higher spectral efficiency by allowing spectrum sharing between different wireless networks. It is import…