Results

[International Journal]

1. Seung-Yeon Kim and Haneul Ko*, "Energy-Efficient Cooperative Transmission in Ultra-Dense Millimeter-Wave Network: Multi-Agent Q-Learning Approach," Sensors, vol. 24. no.23, (article number: 7750), Dec. 2024. (0.5)

2. Youbin Jeon, Hongrok Choi, Hyeonjae Jeong, Daeyoung Jung,  and Sangheon Pack*, "CheckBullet: A Lightweight Checkpointing System for Robust Model Training on Mobile Networks," IEEE Transactions on Mobile Computing, vol. 23, no. 12, pp. 14946-14958, Dec. 2024. (0.5)

3. Haneul Ko, Bokyeong Kim, Yumi Kim, and Sangheon Pack*, "Two-Phase Split Computing Framework in Edge-Cloud Continuum," IEEE Internet of Things (IoT) Journal, vol. 11, no. 12, pp. 21741-21749, Jun. 2024. (0.33)

4. Youbin Jeon and Sangheon Pack*, "Hierarchical Network Data Analytics Framework for 6G Network Automation: Design and Implementation," IEEE Internet Computing, vol. 28, no. 2, pp. 38-46, Mar./Apr. 2024. (0.33)

5. Haneul Ko, Hyeonjae Jeong, Daeyoung Jung, and Sangheon Pack*, "Dynamic Split Computing Framework in Distributed Serverless Edge Clouds," IEEE Internet of Things Journal (IoT-J), vol. 11, no. 8, pp. 14523 - 14531, Apr. 2024. (0.5)

6. Taeho Park, Hochan Lee, Heewon Kim, Subin Han, Taeyun Kim, and Sangheon Pack*, "A Novel Control Plane Framework for Private 5G: Design and Implementation," IEEE Transactions on Network and Service Management, to appear. (0.33)

7. Jaewook Lee and Haneul Ko*, "Energy-Aware Cooperative Clustered Algorithm in Internet of Things (IoT)-based Federated Learning,"  IEEE Transactions on Vehicular Technology (TVT), vol. 72, no. 10, pp. 13799-13804, Oct. 2023. (0.5)

8. Mincheol Paik, Haneul Ko*,  and Sangheon Pack*, "Virtual Experience-based Mobile Device Selection Algorithm for Federated Learning," IEEE Systems Journal, vol. 17, no. 2, pp. 2294-2303, Jun. 2023. (0.5)

9. Haneul Ko, Jaewook Lee, and Sangheon Pack*, "PDRAS: Priority-based Dynamic Resource Allocation Scheme in 5G Network," Journal of Network and Systems, vol. 30, no. 3, pp. 1-20, Aug. 2022. (0.5)

[International Conference]

1.  Bokyeong Kim and Haneul Ko, "Traffic-Efficient Data Aggregation Scheme for Network Data Analytics in B5G Networks," in Proc. International Conference on ICT Convergence (ICTC) 2024, Jeju, Korea, Oct. 2024. 

2. Hojin Yeom, Haneul Ko, and Sangheon Pack, "Traffic-Efficient Split Computing Mechanism for Internet of Things," in Proc. International Conference on ICT Convergence (ICTC) 2023, Jeju, Korea, Oct. 2023.

3. Hyeonjae Jeong, Haneul Ko, and Sangheon Pack, "REMS: Resource-Efficient and Adaptive Model Selection in 5G NWDAF," in Proc. International Conference on ICT Convergence (ICTC) 2023, Jeju, Korea, Oct. 2023.

4. Seunghyun Lee , Jaewook Lee, Taeyun Kim , Daeyoung Jung , Inho Cha , Dongju Cha , Haneul Ko , and Sangheon Pack, "Design and Implementation of Network Data Analytics Function in 5G," in Proc. IEEE International Conference on ICT Convergence (ICTC) 2022, Jeju, Korea, October 2022. (0.5)

[Domestic Journal/Conference]

1. 정현재, 정대영, 고한얼, 백상헌, "효율적인 NWDAF 운영을 위한 멀티 태스크 러닝 활용 기법",  한국통신학회 동계종합학술발표회, 2023년 2월.

[International Patent]

1. 백상헌, 고한얼, 정현재, 정대영, "서버리스 엣지 컴퓨팅 환경에서의 동적 분할 컴퓨팅 방법," 출원번호: 18/110083 (2023년 2월 15일, 출원국가: 미국) 

[Patent]

1. 고한얼, 김보경, 백상헌, "계층적인 모바일 네트워크에서 계층 간 및 계층 내 분할 기계 학습 프레임워크," 출원번호: 10-2023-0048905 (2023년 4월 13일)

2. 백상헌, 차동주, 정대영, "심층 신경망 응용을 위한 분할 컴퓨팅 방법 및 장치," 출원번호: 10-2023-0015973 (2023년 2월 7일) (0.5)

3. 백상헌, 고한얼, 정현재, 정대영, "서버리스 엣지 컴퓨팅 환경에서의 동적 분할 컴퓨팅 방법," 출원번호: 10-2022-0133449 (2022년 10월 17일)

Acknowledgement

• This work was supported by Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No. RS-2022-II221015, Development of Candidate Element Technology for Intelligent 6G Mobile Core Network)

• 이 논문은 2024년도 정부(과학기술정보통신부)의 재원으로 정보통신기획평가원의 지원을 받아 수행된 연구임 (No.RS-2022-II221015, 지능형 6G 모바일 코어 네트워크 후보 요소기술 개발)