Deep Reinforced Segment Selection and Equalization for Task-Oriented Semantic Communication-Reference-Cited by-同舟云学术

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Deep Reinforced Segment Selection and Equalization for Task-Oriented Semantic Communication

Published:2024-08 Issue:8 Volume:28 Page:1865-1869
ISSN:1089-7798
Container-title:IEEE Communications Letters
language:
Short-container-title:IEEE Commun. Lett.

Author:

Seon Joonho¹^ORCID,Lee Seongwoo¹^ORCID,Kim Jinwook¹^ORCID,Hyun Kim Soo¹^ORCID,Ghyu Sun Young¹^ORCID,Seo Hyowoon²^ORCID,In Kim Dong³^ORCID,Young Kim Jin¹^ORCID

Affiliation:

1. Department of Electronic Convergence Engineering, Kwangwoon University, Seoul, South Korea

2. Department of Electronics and Communications Engineering, Kwangwoon University, Seoul, South Korea

3. Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, South Korea

Funder

Institute of Information & communications Technology Planning & Evaluation

Korea government

Research on advanced physical layer technologies of low-earth orbit

MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program

IITP

Kwangwoon University in 2023

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/4234/10634830/10568961.pdf?arnumber=10568961

Reference11 articles.

1. Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications

2. Deep Joint Source-Channel Coding for Wireless Image Transmission

3. Resource Allocation for Text Semantic Communications

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

5. Task-Oriented Image Transmission for Scene Classification in Unmanned Aerial Systems

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