Semantic Communications With AI Tasks Article Swipe
Yang Yang
,
Caili Guo
,
Fangfang Liu
,
Chuanhong Liu
,
Lunan Sun
,
Qizheng Sun
,
Jiujiu Chen
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2109.14170
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2109.14170
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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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2109.14170
- https://arxiv.org/pdf/2109.14170
- OA Status
- green
- Cited By
- 28
- References
- 12
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3201962207
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3201962207Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2109.14170Digital Object Identifier
- Title
-
Semantic Communications With AI TasksWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2021Year of publication
- Publication date
-
2021-09-29Full publication date if available
- Authors
-
Yang Yang, Caili Guo, Fangfang Liu, Chuanhong Liu, Lunan Sun, Qizheng Sun, Jiujiu ChenList of authors in order
- Landing page
-
https://arxiv.org/abs/2109.14170Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2109.14170Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2109.14170Direct OA link when available
- Concepts
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Computer science, Natural language processing, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
28Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 6, 2023: 14, 2022: 8Per-year citation counts (last 5 years)
- References (count)
-
12Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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