Development of an End-to-End AI-Native Semantic and QoS-Aware Multicast Routing Protocol for 6G/B6G Networks with integrated 3D SAGIN-ISACC network environments
이공학학술연구기반구축(R&D) · 기본연구B(포용형)
2026년
2340064069
교육부
한국연구재단
한경국립대학교
AMALIA
1명
2026.09.01 ~ 2027.02.28
2026.09.01 ~ 2029.08.31
3,000만원
3,000만원
기초연구
대학
경기도 안성시
정보/통신 > 무선 통신·네트워크 > 무선·이동통신 시스템
The main goal of this research project is to develop an end-to-end AI-native semantic and QoS-aware multicast routing protocol for ISAC-enabled 3D SAGIN 6G and beyond networks, thereby enabling seamle...
1st Year Research GoalBased on prior research in machine learning/AI and multicast routing, the 1st year expands conventional 2D terrestrial networks into 3D SAGIN environment. Thus, we will develop a...
연구개발성과의 활용방안- The proposed mobile network infrastructure architecture, as one of the key outcomes of this research, can be utilized as a foundational framework for next-generation mobile networks, ena...