Performance Optimization of Semantic Communications for Users with Heterogeneous Knowledge-Reference-Cited by-同舟云学术

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Performance Optimization of Semantic Communications for Users with Heterogeneous Knowledge

Published:2024-06-09 Issue: Volume:1 Page:5515-5520
ISSN:
Container-title:ICC 2024 - IEEE International Conference on Communications
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Author:

Zhang Jiantong¹,Chen Mingzhe²,Zhu Yujiao¹,Shihao H.¹,Luo Tao¹,Zhang Zhilong¹

Affiliation:

1. Beijing Laboratory of Advanced Information Network, Beijing University of Posts and Telecommunications,Beijing,China,100876

2. University of Miami,Department of Electrical and Computer Engineering and Institute for Data Science and Computing,Coral Gables,FL,USA,33146

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10622104/10622158/10623127.pdf?arnumber=10623127

Reference19 articles.

1. Cognitive Semantic Communication Systems Driven by Knowledge Graph: Principle, Implementation, and Performance Evaluation

2. Nine Challenges in Artificial Intelligence and Wireless Communications for 6G

3. Distributed Learning in Wireless Networks: Recent Progress and Future Challenges

4. Semantic-Aware Speech-to-Text Transmission Over MIMO Channels

5. Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach

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