ICNSL

Intelligent Communications and Networked Systems Laboratory

Wireless CommunicationsIntelligent NetworksPositioning & Digital Twins

📌 Notice

연구, 학업, 진로·미래 또는 개인적인 고민에 관해 면담이 필요한 경우, 메일로 연락주세요.
If you would like to discuss research, academics, career or future plans, or personal concerns, please contact me by email.
이메일 연락처 / Email contact

📢 Recent News

[2026.09] Our paper, “A Graph-Theoretic and Stochastic Analysis of BLE-Assisted Cooperative Wi-Fi Scanning,” has been published in Mathematics.
[2026.08] 지능정보융합학과 최세현 학생이 학부연구생으로 연구실에 합류하게 되었습니다. 환영합니다!. We are pleased to welcome Sehyun Choi, a student in the Department of Artificial Intelligence and Information Technology, to our lab as an undergraduate researcher. 👍
[2026.07] Our work, "Demystifying Multi‑Link Device Behavior and Performance under Network Saturation in Wi‑Fi 7", has been published in the IEEE Transactions on Networking.
[2026.06] Website renewal! Yay! 홈페이지를 리뉴얼 했습니다 😺
[2025.04] Our paper titled “Real‑Time Task Scheduling With Fairness in Digital Twin Systems” has been published in the IEEE Internet of Things Journal.
[2025.03] I was appointed as an Assistant Professor in the Department of Artificial Intelligence and Information Technology at Sejong University.

🔬 Research Areas

A multi-link Wi-Fi device transmits on one link while self-interference delays access on another. Adapting contention windows compensates for lost access opportunities.
NEXT-GENERATION WLAN

Wi-Fi 7 Multi-Link Networking

Analysis and design of IEEE 802.11 multi-link operation, including cross-link self-interference, fair channel access, and behavior under saturated traffic. The objective is predictable, standards-compatible performance across multiple links.

Representative work J2 J4
Two devices scan different Wi-Fi channel subsets and exchange their scan results over Bluetooth Low Energy, reducing repeated scanning.
HETEROGENEOUS WIRELESS

Bluetooth–Wi-Fi Coexistence and Cooperative Discovery

Cross-stack coordination between Wi-Fi and Bluetooth/BLE is used to reuse otherwise idle airtime and share scan information. These mechanisms improve throughput and reduce the time and energy cost of discovering nearby access points.

Representative work J1 J6 C3
Low-power IoT sensors share spectrum with interfering Wi-Fi traffic. Adaptive packet length balances frequent access cost against interruption risk.
ENERGY-EFFICIENT IOT

Interference-Aware IoT Networking

Statistical modeling and parameter adaptation for low-power CSMA/CA networks operating beneath higher-power overlay traffic. Packet sizes are tuned to maximize bit-per-joule efficiency in shared unlicensed spectrum.

Representative work J5
Sensor updates synchronize a physical system with its digital twin, while inference produces analysis results. A shared server schedules tasks from multiple twins with timing and fairness in mind.
REAL-TIME CYBER–PHYSICAL SYSTEMS

Digital Twin Scheduling and Synchronization

Joint scheduling of update and inference tasks, fairness across cyber twins, synchronization-error control, and optimization of update and inference timing for responsive digital twin services.

Representative work J3 C1 C2