Optimizing Multi-User Semantic Communication via Transfer Learning and Knowledge Distillation Article Swipe
Loc X. Nguyen
,
Ki Tae Kim
,
Ye Lin Tun
,
Sheikh Salman Hassan
,
Yan Kyaw Tun
,
Zhu Han
,
Choong Seon Hong
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2406.03773
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2406.03773
Semantic communication, notable for ensuring quality of service by jointly optimizing source and channel coding, effectively extracts data semantics, reduces transmission length, and mitigates channel noise. However, most studies overlook multi-user scenarios and resource availability, limiting real-world application. This paper addresses this gap by focusing on downlink communication from a base station to multiple users with varying computing capacities. Users employ variants of Swin transformer models for source decoding and a simple architecture for channel decoding. We propose a novel training regimen, incorporating transfer learning and knowledge distillation to improve low-computing users' performance. Extensive simulations validate the proposed methods.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2406.03773
- https://arxiv.org/pdf/2406.03773
- OA Status
- green
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4399454755
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4399454755Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2406.03773Digital Object Identifier
- Title
-
Optimizing Multi-User Semantic Communication via Transfer Learning and Knowledge DistillationWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-06-06Full publication date if available
- Authors
-
Loc X. Nguyen, Ki Tae Kim, Ye Lin Tun, Sheikh Salman Hassan, Yan Kyaw Tun, Zhu Han, Choong Seon HongList of authors in order
- Landing page
-
https://arxiv.org/abs/2406.03773Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2406.03773Direct 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/2406.03773Direct OA link when available
- Concepts
-
Computer science, Distillation, Knowledge transfer, Transfer of learning, Transfer (computing), Artificial intelligence, Natural language processing, Human–computer interaction, Knowledge management, Chemistry, Chromatography, Parallel computingTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
- Related works (count)
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10Other works algorithmically related by OpenAlex
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