본 논문은 2022년도 교육부의 재원으로 한국연구재단의 지원을 받아 수행된 지자체-대학 협력기반 지역혁신 사업의 결과입니다. (2021RIS-004)
This research was supported by "Regional Innovation Strategy (RIS)" through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (MOE) (2021RIS-004)
(재단 과제관리번호: 2021RIS-004, NTIS 과제고유번호: 1345341784, (대전세종충남지역혁신플랫폼)충남대학교)
Taewon Song and Woong-Hee Lee*, "HARE: Hybrid ARQ-based Adaptive Retransmission Control Scheme for Synchronous Multi-link in Wireless LANs," IEEE Transactions on Vehicular Technology (TVT), Vol. 72, Issue. 8, pp. 10302 - 10313, Aug. 2023. (0.33)
Yeunwoong Kyung, Eunchan Kim, and Taewon Song*, "Opportunistic Offloading Scheme for Content Delivery Service using Electro-Mobility Networks," IET Intelligent Transport Systems, on early access. (0.5)
송태원, 경연웅*, "심층 강화학습 기반 고이동성 차량 애드혹 네트워크 환경에서의 저지연 전송 기법," 차세대융합기술학회논문지, 제 6권, 제 8호, pp. 1321-1328, Aug 2022. (1)
송태원, "IoT 네트워크에서의 심층 강화학습 기반 저전력 버퍼 관리 기법에 관한 연구," 사물인터넷융복합논문지, 제 8권, 제 4호, pp. 1-7, Aug 2022. (1)
본 논문은 2022년도 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 기초연구사업임 (No. 2022R1F1A1076069)
This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. 2022R1F1A1076069)
T. Song and Y. Kyung, "Deep Reinforcement Learning Based Age-of-Information-Aware Low-PowerActive Queue Management for IoT Sensor Networks," IEEE Internet of Things Journal, vol. 11, no. 9, pp. 16 700–16 709, 2024. (0.33) (IF 10.6, JCR Top 2.2%)
T. Song and W.-H. Lee*, "HARE: Hybrid ARQ-based Adaptive Retransmission Control Scheme for Synchronous Multi-link in Wireless LANs," IEEE Transactions on Vehicular Technology (TVT), Vol. 72, Issue. 8, pp. 10 302 - 10 313, Aug. 2023. (0.33)
Y. Jeong, T. Song, and T. Kim, “Adaptive Client Training Scale Orchestration for Federated Learning,” in 2023 14th International Conference on Information and Communication Technology Convergence (ICTC), 2023, pp. 885–888.
Y. Kyung, J. Lee, S. Jang, H. Ko, and T. Song, “Cost-efficient Deployment Scheme for User and Control Plane Functions in Non-public Networks,” in 2023 14th International Conference on Information and Communication Technology Convergence (ICTC), 2023, pp. 869–871.
T. Song, “Opportunistic Task Offloading in UAV-assisted Mobile Edge Computing: A Deep Reinforcement Learning Approach,” in 2023 14th International Conference on Information and Communication Technology Convergence (ICTC), 2023, pp. 881–884.
본 논문은 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임 (No. 2022R1F1A107606911)
This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. 2022R1F1A107606911).
Taewon Song and Woong-Hee Lee*, "HARE: Hybrid ARQ-based Adaptive Retransmission Control Scheme for Synchronous Multi-link in Wireless LANs," in early access. (0.33)
본 연구는 2022년 과학기술정보통신부 및 정보통신기획평가원의 SW중심대학사업의 연구결과로 수행되었음"(2021-0-01399)
This research was supported by the MSIT (Ministry of Science, ICT), Korea, under the National Program for Excellence in SW), supervised by the IITP (Institute of Information & communications Technology Planing & Evaluation) in 2021"(2021-0-01399)
Yeunwoong Kyung and Taewon Song*, "CSV: Content Service Offloading System with Vehicular Caching," MDPI sensors, Vol. 22, Issue. 20, p. 7967, Oct. 2022. (IF 3.847)