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LARGE AI MODEL-BASED SEMANTIC COMMUNICATIONS

delete2024-06-01
delete6
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OA
AI
江
江沸菠 (Feibo Jiang)
Y
Yubo Peng
L
Li Dong *
K
Kezhi Wang
K
Kun Yang
C
Cunhua Pan *
肖友 封面图
肖友 (Xiaohu You)
DOI:10.1109/MWC.001.2300346delete
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摘要

摘要

En 中文
Semantic communication (SC) is an emerging intelligent paradigm, offering solutions for various future applications like metaverse, mixed reality, and the Internet of everything. However, in current SC systems, the construction of the knowledge base (KB) faces several issues, including limited knowledge representation, frequent knowledge updates, and insecure knowledge sharing. Fortunately, the development of the large AI model (LAM) provides new solutions to overcome the above issues. Here, we propose a LAM-based SC framework (LAM-SC) specifically designed for image data, where we first apply the segment anything model (SAM)-based KB (SKB) that can split the original image into different semantic segments by universal semantic knowledge. Then, we present an attention-based semantic integration (ASI) to weigh the semantic segments generated by SKB without human participation and integrate them as the semantic-aware image. Additionally, we propose an adaptive semantic compression (ASC) encoding to remove redundant information in semantic features, thereby reducing communication overhead. Finally, through simulations, we demonstrate the effectiveness of the LAM-SC framework and the possibility of applying the LAM-based KB in future SC paradigms.

期刊

IEEE Wireless Communications 封面图
IEEE Wireless Communications
IF:
11.5
论文数:
2.8K
被引数:
1.3W

机构

H
Hunan Normal University
学者数:
1.3W
论文数: 8.2K
被引数: 9.1K
B
brunel university
学者数:
5.8K
论文数: 7.1K
被引数: 9
S
southeast university - china
学者数:
5.3W
论文数: 4.9W
被引数: 57
N
nanjing university
学者数:
7.8W
论文数: 5.6W
被引数: 87
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引用论文

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Cross-Modal Semantic Communications
err2022-12-01
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PREAI
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