Semantic Communications With AI Tasks

Caili Guo; Chuanhong Liu; Fangfang Liu; Jiujiu Chen; Lunan Sun; Qizheng Sun; Yang Yang

Semantic Communications With AI Tasks

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arxiv 2109.14170 v1 pith:M2TRJVDS submitted 2021-09-29 cs.CV

Yang Yang , Caili Guo , Fangfang Liu , Chuanhong Liu , Lunan Sun , Qizheng Sun , Jiujiu Chen This is my paper · ORCID

classification cs.CV

keywords sc-aitcommunicationssemanticlevelarchitectureconnectedintelligencetasks

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abstract

A radical paradigm shift of wireless networks from ``connected things'' to ``connected intelligence'' undergoes, which coincides with the Shanno and Weaver's envisions: Communications will transform from the technical level to the semantic level. This article proposes a semantic communication method with artificial intelligence tasks (SC-AIT). First, the architecture of SC-AIT is elaborated. Then, based on the proposed architecture, we implement SC-AIT for a image classifications task. A prototype of SC-AIT is also established for surface defect detection, is conducted. Experimental results show that SC-AIT has much lower bandwidth requirements, and can achieve more than $40\%$ classification accuracy gains compared with the communications at the technical level. Future trends and key challenges for semantic communications are also identified.

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