人工智能驱动的跨模态语义通信系统
Artificial Intelligence-Driven Cross-Modal Semantic Communication System
廖俊淇 1魏昕 1周亮1
作者信息
- 1. 南京邮电大学,中国 南京 210003
- 折叠
摘要
概述了跨模态语义通信的相关研究背景,具体包括语义通信面临的两大挑战、跨模态通信的核心思想,以及跨模态语义通信具有的优势与存在的研究空白.针对跨模态语义通信尚存在的研究空白,在人工智能技术的驱动下,提出跨模态语义通信系统架构,详细介绍了跨模态语义通信的核心思想、关键技术,以及实践落地中需要考虑的重要因素,探讨了跨模态语义通信系统的应用场景以及存在的挑战.
Abstract
The research background of cross-modal semantic communications is summarized,including the two major challenges faced by semantic communications,the core concepts of cross-modal communications,as well as the advantages and existing research gaps in cross-modal semantic communications.To address these gaps,a system architecture of cross-modal semantic communications driven by artificial intelligence technology is proposed.The core ideas,key technologies,and important factors to consider in the practical implementa-tion of cross-modal semantic communications are introduced in detail.Additionally,the application scenarios and existing challenges of the cross-modal semantic communications are explored.
关键词
跨模态语义通信/人工智能/语义关联/语义知识库Key words
cross-modal semantic communications/artificial intelligence/semantic correlation/semantic knowledge base引用本文复制引用
基金项目
国家自然科学基金项目(62231017)
国家自然科学基金项目(62071254)
出版年
2024
NETL
NSTL
万方数据