과제정보
본 연구는 2022년도 과학기술정보통신부의 재원으로 정보통신기획평가원의 지원을 받아 수행된 연구임[2021-0-00718, 5G MEC 개방/연동 네트워킹 기술 표준개발].
참고문헌
- 2022년도 5G+ 전략 추진계획(안), 대한민국 관계부처 합동, 2022. 2.
- ETSI, https://www.etsi.org/
- 3GPP, https://www.3gpp.org/
- GSMA, https://www.gsma.com/
- ITU-T, https://www.itu.int/ITU-T/
- LF Edge, https://www.lfedge.org/
- ETSI GS MEC 003(v3.1.1), Multi-access Edge Computing (MEC); Framework and Reference Architecture, 2022. 3.
- 3GPP TS 23.558(Rel-17), Architecture for Enabling Edge Applications, 2021. 6.
- 3GPP TR 23.700-98(Rel-18), Study on Enhanced Application Architecture for Enabling Edge Applications, 2022. 6.
- 3GPP TS 23.501(Rel-16), System Architecture for the 5G System(5GS), 2021. 3.
- 3GPP TS 23.502(Rel-16), Procedures for the 5G System(5GS), 2021. 3.
- 3GPP TS 23.548(Rel-17), 5G System Enhancements for Edge Computing, 2022. 6.
- 3GPP TR 23.700-48(Rel-18), 5G System Enhancements for Edge Computing; Phase 2, 2022. 4.
- GSMA Whitepaper OPG.01, Operator Platform: Telco Edge Proposal, 2020. 10.
- Recommendation ITU-T Q.5003, Signalling Requirements and Architecture for Federated Multi-access Edge Computing, 2021. 12.
- 3GPP TS 23.222(Rel-17), Common API Framework for 3GPP Northbound APIs, 2021. 4.
- Draft Recommendation ITU-T Q.AIS-SRA, Signalling Requirements and Architecture to Support AI based Vertical Services in Future Network, IMT2020 and Beyond, SG11-TD216/GEN, 2022. 7.
- 3GPP TR 23.700-80(Rel-18), Study on 5G System Support for AI/ML-based Services, 2022. 4.