19 citations · 74 across the 31 of their papers we have counts for
18 papers · 1 filter
Towards Semantic Communication Protocols for 6G: From Protocol Learning to Language-Oriented Approaches
Jihong Park, Seung-Woo Ko, Jinho Choi +2
The forthcoming 6G systems are expected to address a wide range of non-stationary tasks. This poses challenges to traditional medium access control (MAC) protocols that are static…
Over-the-Air Consensus for Distributed Vehicle Platooning Control (Extended version)
Jihoon Lee, Yonghoon Jang, Hansol Kim +2
A distributed control of vehicle platooning is referred to as distributed consensus (DC) since many autonomous vehicles (AVs) reach a consensus to move as one body with the same ve…
Towards Semantic Communication Protocols: A Probabilistic Logic Perspective
Sejin Seo, Jihong Park, Seung-Woo Ko +3
Classical medium access control (MAC) protocols are interpretable, yet their task-agnostic control signaling messages (CMs) are ill-suited for emerging mission-critical application…
Combinatorial Data Augmentation: A Key Enabler to Bridge Geometry- and Data-Driven WiFi Positioning
Seung Min Yu, Jihong Park, Seung-Woo Ko
Due to the emergence of various wireless sensing technologies, numerous positioning algorithms have been introduced in the literature, categorized into \emph{geometry-driven positi…
Cooperative Multi-Point Vehicular Positioning Using Millimeter-Wave Surface Reflection (Extended version)
Zezhong Zhang, Seung-Woo Ko, Rui Wang +1
Multi-point vehicular positioning is one essential operation for autonomous vehicles. However, the state-of-the-art positioning technologies, relying on reflected signals from a ta…
Understanding Uncertainty of Edge Computing: New Principle and Design Approach
Sejin Seo, Sang Won Choi, Sujin Kook +2
Due to the edge's position between the cloud and the users, and the recent surge of deep neural network (DNN) applications, edge computing brings about uncertainties that must be u…
V2X-Based Vehicular Positioning: Opportunities, Challenges, and Future Directions
Seung-Woo Ko, Hyukjin Chae, Kaifeng Han +3
Vehicle-to-Everything (V2X) will create many new opportunities in the area of wireless communications, while its feasibility on enabling vehicular positioning has not been explored…
Joint Frequency-and-Phase Modulation for Backscatter-Tag Assisted Vehicular Positioning
Kaifeng Han, Seung-Woo Ko, Seungmin Lee +2
Autonomous driving (auto-driving) has been becoming a killer technology for next generation vehicles, whereas some fatal accidents grow concerns about its safety. A fundamental fun…
Realizing Multi-Point Vehicular Positioning via Millimeter-wave Transmission
Zezhong Zhang, Seung-Woo Ko, Rui Wang +1
Multi-point detection of the full-scale environment is an important issue in autonomous driving. The state-of-the-art positioning technologies (such as RADAR and LIDAR) are incapab…
Hidden Vehicle Sensing via Asynchronous V2V Transmission: A Multi-Path-Geometry Approach
Kaifeng Han, Seung-Woo Ko, Hyukjin Chae +2
Accurate vehicular sensing is a basic and important operation in autonomous driving. Unfortunately, the existing techniques have their own limitations. For instance, the communicat…
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…
Opportunism in Dynamic Spectrum Access for 5G: A Concept and Its Application to Duplexing
Jeemin Kim, Soo-Min Kim, Han Cha +4
With the envisioned massive Internet-of-Things (IoT) era, one of the challenges for 5G wireless systems will be handling the unprecedented spectrum crunch. A potential solution has…
Wireless Networks for Mobile Edge Computing: Spatial Modeling and Latency Analysis (Extended version)
Seung-Woo Ko, Kaifeng Han, Kaibin Huang
Next-generation wireless networks will provide users ubiquitous low-latency computing services using devices at the network edge, called mobile edge computing (MEC). The key operat…
Inference from Randomized Transmissions by Many Backscatter Sensors
Guangxu Zhu, Seung-Woo Ko, Kaibin Huang
Attaining the vision of Smart Cities requires the deployment of an enormous number of sensors for monitoring various conditions of the environment. Backscatter-sensors have emerged…
Sense-and-Predict: Opportunistic MAC Based on Spatial Interference Correlation for Cognitive Radio Networks
Jeemin Kim, Seung-Woo Ko, Han Cha +1
Opportunity detection at secondary transmitters (TXs) is a key technique enabling cognitive radio (CR) networks. Such detection however cannot guarantee reliable communication at s…
Live Prefetching for Mobile Computation Offloading
Seung-Woo Ko, Kaibin Huang, Seong-Lyun Kim +1
The conventional designs of mobile computation offloading fetch user-specific data to the cloud prior to computing, called offline prefetching. However, this approach can potential…
Impact of Node Speed on Throughput of Energy-Constrained Mobile Networks with Wireless Power Transfer
Seung-Woo Ko, Seong-Lyun Kim
A wireless charging station (WCS) transfers energy wirelessly to mobile nodes within its charging region. This paper investigates the impact of node speed on the throughput of WCS…
User Attraction via Wireless Charging in Cellular Networks
Jeemin Kim, Jihong Park, Seung-Woo Ko +1
A strong motivation of charging depleted battery can be an enabler for network capacity increase. In this light we propose a spatial attraction cellular network (SAN) consisting of…