AIoT Lab Logo
  • Home
  • Resume
  • Research
  • Research Area Research Project
  • Development
  • Publication
  • International Journal International Conference Domestic Journal Domestic Conference International Patent Domestic Patent Etc.
  • Member
  • Teaching
  • Contact
  • HKLab
  • Register | Log in
  • Research Areas
    1. Communicaton-Computing Co-Design for Real-Time Computer Vision Services
      • Goal
        • Maximizing the performance of semantic communications and implementing a real-time computer vision transmission system

      • Approach
        • Joint optimization of communication and computing resources
        • Breakthrough the tradeoff performances among fidelity, energy, and delay

      • Issues
        • Maximizing accuracy while ensuring end-to-end latency for real-time intelligent surveillance services
        • Minimizing energy consumption while guaranteeing precision for real-time immersive 3D/VR monitoring services
        • Minimizing energy-latency costs while ensuring fidelity for real-time interactive XR conferencing services
        • Implementation and performance evaluation of a real-time computer vision transmission system in virtual and real environments


    2. Energy-Efficient Protocol for 6G Vertical Communications
      • Goal
        • Maximizing energy efficiency in 6G vertically integrated networks with mobile devices, UAVs, and satellites

      • Approach
        • Research on wireless energy harvesting UAV communication systems
        • Research on context-aware low-power satellite communication networks
        • Research on energy-efficient integrated terrestrial–aerial–satellite networks

      • Issues
        • Minimizing energy consumption in UAV systems with wireless energy transfer and harvesting
        • Maximizing the lifetime of satellite networks while ensuring end-to-end QoS in LEO satellite communication networks
        • Maximizing energy efficiency in 6G integrated terrestrial–aerial–satellite networks


    3. Machine Learning-based Communications and Networks
      • Goal
        • Achieve fully autonomic operation, maximum throughput, minimum cost through machine learning

      • Approach
        • Solve CN & SON issues by applying ML algorithm

      • Issues
        • ML-based Optimization of Communication Networks
          • Deep Learning-based Resource Allocation and Optimization
          • Multi-Agent Reinforcement Learning Algorithms for Optimization
        • Computing and Networking for Machine Learning Services
          • Joint Optimization of Cooperative Inference and Resource Allocation for Intelligent Surveillance
          • In-Network Computing for 3D Video Transmission


    4. Bio-Inspired Self-Organizing Communication and Networks
      • Goal
        • Achieve a self-organized networking with low overhead while gauranteeing user quality of service

      • Approach
        • Apply bio-inspired algorithms (e.g., ACO, Flocking algorithm, Firefly synch/desync., etc)

      • Issues
        • Bio-Inspired Routing
          • Regional Route Maintenance Protocol Based on Local Pheromone Diffusion
          • Bio-Inspired Routing Protocol Based on Pheromone Diffusion
        • Bio-Inspired Resource Management
          • Bio-inspired Resource Allocation Algorithms and MAC Protocol Design
          • Bio-Inspired Transmit Power Control
          • Bio-inspired Fair Resource-Allocation Algorithm
        • Bio-Inspired Energy Saving
          • Biologically Inspired Power Control Algorithm for Energy-Efficient Cellular Networks
          • Bio-Inspired Uplink Power Control for Energy-Efficient Mobile Stations
        • Bio-Inspired Fast Consensus
          • Optimal Number of Neighbors for Fast Consensus
          • Coverage Control for Fast Consensus
          • Performance Evaluation of Biologically Inspired Consensus Algorithm
        • Bio-Inspired System Modeling and Engineering
          • Principles, Applications, and Challenges of Synchronization in Nature
          • Self-Organization in Mobile Networking Systems
          • 생체모방 알고리즘 기반 통신 네트워크 기술
          • 자연계 동조 현상의 이해와 공학적 활용 방안


    5. Next-Generation Wireless Communications and Networks
      • Goal
        • Maximize data rate and energy efficiency while guaranteeing the seamless connectivity

      • Issues
        • Wireless Energy Harvesting
          • Adaptive Wireless-powered Relaying Protocols
          • Wireless-Powered Two-Way Relaying Protocols
          • Harvest or Access Protocol (IEEE TVT submitted)
        • Cooperative Interference Management
          • Cyclic Interference Alignment
          • Hierarchical Interference Alignment
          • Interfering Channel Alignment
          • Device-to-Device Communication Assisted Interference Mitigation
        • Distributed Resource Management & Access Control
          • MP-CSMA/CR
          • Carrier Sense Multiple Access with Collision Resolution (CSMA/CR)
          • Distributed Transmit Power Control
          • Joint Scheduling and Power Control
        • Ultra-Low Power Management
          • User State Transition Mechanisms
          • LTE Power-Saving Mechanisms
          • Power-Saving Mode for Mobile VoIP Services
        • Seamless Connectivity Management
          • Ad Hoc Cooperative Vertical Handoff
          • Vertical Handover for Multi-Layered Real-Time Video
          • Opportunistic Vertical Handover
          • Optimal Handover Decision Algorithms
          • Energy-aware Source Routing in MANET

  • Research Projects
    1. Mar. 2022 - Feb. 2025: 6G 수직적 이동통신 환경에서 에너지 효율적인 통신 프로토콜 연구, 한국연구재단 중견연구 (책임)
    2. Mar. 2022 - Feb. 2023: 무선 전력 통신 네트워크에서 최적의 멀티홉 전송 방식, 한경대 (책임)
    3. Apr. 2022 - Nov. 2022: 고밀도 드론 분포 환경에서 저전력 드론 식별을 위한 시스템 시뮬레이터 제작, ETRI (참여)
    4. Mar. 01, 2022 - Nov. 30, 2022: 5G NR 스몰셀 클러스터 환경에서 머신러닝 기반 에너지 효율 최적화 연구, ETRI (참여)
    5. Apr. 16, 2021 - Nov. 15, 2021: 저전력 드론 식별을 위한 시스템 레벨 시뮬레이터 제작, ETRI (참여)
    6. Mar. 01, 2021 - Oct. 31, 2021: 고밀집 5G 스몰셀 클러스터 환경에서 인공지능 기반 핸드오버 기술을 통한 에너지 절감 알고리즘 연구, ETRI (참여)
    7. June 2019 - Feb. 2022: 무선 네트워크의 에너지 중립적 운영을 위한 네트워크 구조 및 통신 프로토콜 연, 한국연구재단 중견연구 (책임)
    8. June 01, 2020 - Nov. 30, 2020: 5G NR기반의 스몰셀 클러스트 에너지 절감을 위한 최적화 알고리즘 연구, ETRI (참여)
    9. Mar. 16, 2020 - Nov. 15, 2020: 드론 분포에 따른 ALOHA 계열 시스템 성능 비교 연구, ETRI (참여)
    10. June 15, 2019 - Nov. 30, 2019: 군집 드론 운용 환경에서의 효율적 식별을 위한 그룹 스케쥴링 방식 연구, ETRI (참여)
    11. May 2017 - Feb. 2019: 개방형 5G 표준 모델 개발, 기가코리아사업단, 미래창조과학부 (참여)
    12. June 2016 - May 2019: 만물 인터넷 환경에서 자연계 군집 지능 기반 분산 저전력 통 한국연구재단 신진연구 (책임)
    13. Apr. 2013 - Mar. 2018: 단말 협업형 Giga급 스마트 클라우드릿 핵심기술 개발, 방송통신위원회 (참여)
    14. July 2011 - June 2017: 물류센터 관리를 위한 저전력 사물 통신 및 네트워크 기술 연구, GRRC (참여)
    15. Sep. 2011 - Aug. 2016: 차세대 이종 무선망에서 네트워크 지연 시간 변이를 고려한 저전력 통신 프로토콜 연구, 한국연구재단 일반연구 (책임)
    16. Apr. 2014 - Apr. 2016: 집단생태특성기반 자율기동망 무선자원 및 경로 제어알고리즘 연구, ADD (참여)
    17. July 2014 - Jan. 2015: 5G 서비스 시나리오 연구, ETRI (참여)
    18. June 2012 - Jan. 2013: 인접 인터넷 서비스 분석 및 요구사항 도출 연구, ETRI (참여)
    19. Apr. 2012 - Jan. 2013: 자율네트워크 환경 기반 Distributed MAC 및 무선자원 관리 기술 개발, 방송통신위원회 (참여)
    20. June 2011 - Dec. 2011: 4G+ 무선환경에서의 핵심 요소 기술 연구, KT (책임)
    21. Mar. 2011 - Feb. 2012: Distributed Resource Management for Large-Scale Networks, 한경대 (책임)

(17579) 경기도 안성시 중앙로 327 국립한경대학교 ICT로봇기계공학부 ICT로봇공학전공

School of ICT, Robotics & Mechanical Engineering, Hankyong National University, 327 Chungang-no, Anseong-si. Kyonggi-do. 17579, South Korea

© AIoT Lab. All Rights Reserved 2025

ICTRobot Logo