Results

[International Journal]

1. 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), to appear. (0.5)

2. 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)

3. 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)

4. 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)

5. 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. 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.

2. 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.

3. 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 for Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No. 2022-0-01015)

• 이 논문은 2022년도 정부(과학기술정보통신부)의 재원으로 정보통신기술진흥센터의 지원을 받아 수행된 연구임 (No. 2022-0-01015)