Task-Oriented Multi-User Semantic Communication With Lightweight Semantic Encoder and Fast Training for Resource-Constrained Terminal Devices-Reference-Cited by-同舟云学术

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Task-Oriented Multi-User Semantic Communication With Lightweight Semantic Encoder and Fast Training for Resource-Constrained Terminal Devices

Published:2024-09 Issue:9 Volume:13 Page:2427-2431
ISSN:2162-2337
Container-title:IEEE Wireless Communications Letters
language:
Short-container-title:IEEE Wireless Commun. Lett.

Author:

Peng Jincheng¹^ORCID,Xing Huanlai¹^ORCID,Li Yang¹,Feng Li¹,Xu Lexi²^ORCID,Lei Xianfu³^ORCID

Affiliation:

1. School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China

2. Research Institute, China United Network Communications Corporation, Beijing, China

3. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hebei Province

Fundamental Research Funds for the Central Universities, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/5962382/10670693/10565845.pdf?arnumber=10565845

Reference15 articles.

1. Toward Wisdom-Evolutionary and Primitive-Concise 6G: A New Paradigm of Semantic Communication Networks

2. Classification-Oriented Distributed Semantic Communication for Multivariate Time Series

3. Semantic-Preserved Communication System for Highly Efficient Speech Transmission

4. A Multi-user Deep Semantic Communication System based on Federated Learning with Dynamic Model Aggregation

5. Deep Learning-Enabled Semantic Communication Systems With Task-Unaware Transmitter and Dynamic Data

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1. A novel image semantic communication method via dynamic decision generation network and generative adversarial network;Scientific Reports;2024-08-23

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