19 citations · 74 across the 31 of their papers we have counts for
6 papers · 1 filter
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…
Exploiting User Mobility for WiFi RTT Positioning: A Geometric Approach
Kyuwon Han, Seung Min Yu, Seong-Lyun Kim +1
Recently, round-trip time (RTT) measured by a fine-timing measurement protocol has received great attention in the area of WiFi positioning. It provides an acceptable ranging accur…
Random Access with Opportunity Detection in Wireless Networks
Jinho Choi, Seung-Woo Ko, Koji Yamamoto +1
This letter proposes a novel random medium access control (MAC) based on a transmission opportunity prediction, which can be measured in a form of a conditional success probability…
Enhancing TCP End-to-End Performance in Millimeter-Wave Communications
Minho Kim, Seung-Woo Ko, Seong-Lyun Kim
Recently, millimeter-wave (mmWave) communications have received great attention due to the availability of large spectrum resources. Nevertheless, their impact on TCP performance h…
Cognitive Random Access for Internet-of-Things Networks
Hyesung Kim, Seung-Woo Ko, Seong-Lyun Kim
This paper focuses on cognitive radio (CR) internet- of-things (IoT) networks where spectrum sensors are deployed for IoT CR devices, which do not have enough hardware capability t…
Traffic Convexity Aware Cellular Networks: A Vehicular Heavy User Perspective
Taehyoung Shim, Jihong Park, Seung-Woo Ko +3
Rampant mobile traffic increase in modern cellular networks is mostly caused by large-sized multimedia contents. Recent advancements in smart devices as well as radio access techno…