Edge Semantic Cognitive Intelligence for 6G Networks: Novel Theoretical Models, Enabling Framework, and Typical Applications

Peihao Dong; Qihui Wu; Xiaofei Zhang; Guoru Ding

Edge Semantic Cognitive Intelligence for 6G Networks: Novel Theoretical Models, Enabling Framework, and Typical Applications

Signal Processing 2022-07-12 v2 Information Theory math.IT

Authors: Peihao Dong , Qihui Wu , Xiaofei Zhang , Guoru Ding

Abstract

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.

Keywords

wireless communications and networks semantic communication

Cite

@article{arxiv.2205.12073,
  title  = {Edge Semantic Cognitive Intelligence for 6G Networks: Novel Theoretical Models, Enabling Framework, and Typical Applications},
  author = {Peihao Dong and Qihui Wu and Xiaofei Zhang and Guoru Ding},
  journal= {arXiv preprint arXiv:2205.12073},
  year   = {2022}
}

Comments

9 pages, 7 figures, accepted by China Communications as an invited paper

Edge Semantic Cognitive Intelligence for 6G Networks: Novel Theoretical Models, Enabling Framework, and Typical Applications

Abstract

Keywords

Cite

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