论文标题
6G网络的边缘语义认知智能：新型理论模型，启用框架和典型应用
Edge Semantic Cognitive Intelligence for 6G Networks: Novel Theoretical Models, Enabling Framework, and Typical Applications
论文作者
论文摘要
Edge Intelligence预计将介绍6G网络连接智能的途径，但是边缘计算和人工智能的有机汇合仍然需要仔细处理。为此，本文从语义认知的角度讨论了边缘智能的概念。首先建立了边缘语义认知智能（ESCI）的两个启发性理论模型。之后，讨论了通过语义交流协调深度学习的ESCI框架。有两个代表性应用程序可以阐明6G网络中ESCI的前景。最终列出了一些开放问题，以引起ESCI的未来研究指示。
Edge intelligence is anticipated to underlay the pathway to connected intelligence for 6G networks, but the organic confluence of edge computing and artificial intelligence still needs to be carefully treated. To this end, this article discusses the concepts of edge intelligence from the semantic cognitive perspective. Two instructive theoretical models for edge semantic cognitive intelligence (ESCI) are first established. Afterwards, the ESCI framework orchestrating deep learning with semantic communication is discussed. Two representative applications are present to shed light on the prospect of ESCI in 6G networks. Some open problems are finally listed to elicit the future research directions of ESCI.
