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Hyerin Kim

Doctoral researcher at the Technical University of Munich, exploring QoS-aware wireless systems and resilient multi-RAT infrastructure for service continuity under constrained network conditions.

Research Interests

📶

QoS-aware MAC-layer Resource Allocation for 5G/6G Networks

  • Designing flow-level scheduling algorithms for QoS provisioning in B5G/6G systems
  • Translating CN-RAN QoS semantics (5QI, PDB, PER, GFBR) into per-TTI resource allocation decisions
  • Applying both optimization-based formulations and reinforcement learning approaches
🔗

Distributed Resource Allocation in Wireless Networks

  • Addressing exposed and hidden terminal problems in dense wireless networks
  • Improving spatial reuse and overall performance by estimating states of neighboring devices
  • Studying Wi-Fi and cellular systems from a MAC-layer perspective
🎛️

Cross-layer Resource Management and System-level Orchestration

  • Connecting lower-layer scheduling decisions with application- and service-level requirements
  • Coordinating transport-, PDCP/RLC-, and MAC-layer parameters for multi-slice allocation
  • Leveraging orchestration frameworks such as O-RAN and network slicing
🛟

Resilient Multi-RAT Connectivity for Edge and Mobility Services

  • Studying service- and power-aware fallback across 5G, Wi-Fi/local connectivity, NTN, and low-power wireless technologies
  • Measuring how heterogeneous monitoring and safety-control traffic behaves under staged power and connectivity conditions
  • Investigating RAT selection and coordination for maintaining service continuity during network and power disruptions
🛰️

Decentralized and Resilient Network Infrastructure

  • Exploring how future communication systems can reduce dependency on centralized terrestrial infrastructure
  • Maintaining distributed service continuity when terrestrial connectivity, power supply, or central cloud access is disrupted
  • Connecting resilience, decentralization, and edge-supported service continuity as a long-term research direction

News

2026
Apr 10

🎤🇳🇱 Connected Mobility Doctoral Seminar, Delft University of Technology, Netherlands

Talk on 'Edge Resilience from a Network Perspective'

2025
Sep 1

🚀 Started PhD at Technical University of Munich (TUM)

Aug 28

🎓 Received M.S. in Computer Science from Seoul National University (SNU)

Aug 20

🎤🇯🇵 Oral Presentation at ICNS3 Conference, Osaka, Japan

Selected to present our paper on 'Evolving 5G-LENA Towards 6G: Integrating AI for Intelligent Scheduling of Multi-Flow Traffic'

Aug 5

🎤🇯🇵 Oral Presentation at IEEE ICCCN Conference, Tokyo, Japan

Selected to present our paper on 'DRILL-Q: Delay-Responsive Intelligent Learning for Latency-sensitive QoS'

Publications

2025

Aug 2025

DRILL-Q: Delay-Responsive Intelligent Learning for Latency-sensitive QoS

Hyerin Kim , Katerina Koutlia , Biljana Bojović , Amir Ashtari , and Gabriel Ferreira

Proceedings of the 34th International Conference on Computer Communications and Networks (ICCCN)

Evolving 5G-LENA Towards 6G: Integrating AI for Intelligent Scheduling of Multi-Flow Traffic

Hyerin Kim , Katerina Koutlia , Biljana Bojović , Amir Ashtari , and Gabriel Ferreira

ICNS3 ‘25: Proceedings of the 2025 International Conference on ns-3

2023

Nov 2023

Improving Spatial Reuse of Wireless LANs using Contextual Bandits

Hyerin Kim , Gwanwoo Na , Heeseon Im , and Jungmin So

IEEE Transactions on Wireless Communications

2021

Projects

Ongoing

CIRES: Critical Infrastructure Resilience Through Edge Computing Systems

Intelligent Edge Orchestration through Resilient Multi-RAT Connectivity.

Investigating seamless connectivity through Multi-RAT (Radio Access Technology) integration within the CIRES project. My research focuses on orchestrating diverse access technologies to maintain high-availability edge services, ensuring that Europe's critical infrastructure remains operational despite communication disruptions or resource fluctuations.

#Horizon Europe#Edge Computing#Network Resilience#Decentralized Orchestration#Multi-RAT
Completed

GSoC 2024: Enhancement of RL Approach Accessibility in NR

Enhancing Reinforcement Learning Integration for 5G LENA in ns-3.

Selected for Google Summer of Code 2024 with the ns-3 organization. I developed a standardized RL interface by integrating OpenAI Gym with the ns3-gym module for 5G LENA. My work included implementing a resilient RL-based scheduler, providing a high-fidelity simulation environment for AI-driven radio resource management in next-generation networks.

#Resource Management#Reinforcement Learning#ns-3#5G LENA#OpenAI Gym