Enhancing Reasoning Ability in Semantic Communication Through Generative AI-Assisted Knowledge Construction-Reference-Cited by-同舟云学术

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Enhancing Reasoning Ability in Semantic Communication Through Generative AI-Assisted Knowledge Construction

Published:2024-04 Issue:4 Volume:28 Page:832-836
ISSN:1089-7798
Container-title:IEEE Communications Letters
language:
Short-container-title:IEEE Commun. Lett.

Author:

Zhao Fangzhou¹^ORCID,Sun Yao¹^ORCID,Feng Lei²^ORCID,Zhang Lan³^ORCID,Zhao Dezong¹^ORCID

Affiliation:

1. James Watt School of Engineering, University of Glasgow, Glasgow, U.K.

2. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications (BUPT), Beijing, China

3. Department of Electrical and Computer Engineering, Clemson University, Clemson, SC, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4234/10496344/10433140.pdf?arnumber=10433140

Reference15 articles.

1. Less data, more knowledge: Building next generation semantic communication networks;Chaccour;arXiv:2211.14343,2022

2. Generative AI for semantic communication: Architecture, challenges, and outlook;Xia;arXiv:2308.15483,2023

3. Joint Computing Resource and Bandwidth Allocation for Semantic Communication Networks

4. Semantic Communications in Networked Systems: A Data Significance Perspective

5. Adaptive Bit Rate Control in Semantic Communication With Incremental Knowledge-Based HARQ

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