Performance Optimization for Semantic Communications: An Attention-Based Reinforcement Learning Approach-Reference-Cited by-同舟云学术

Performance Optimization for Semantic Communications: An Attention-Based Reinforcement Learning Approach

Published:2022-09 Issue:9 Volume:40 Page:2598-2613
ISSN:0733-8716
Container-title:IEEE Journal on Selected Areas in Communications
language:
Short-container-title:IEEE J. Select. Areas Commun.

Author:

Wang Yining¹^ORCID,Chen Mingzhe²^ORCID,Luo Tao¹^ORCID,Saad Walid³^ORCID,Niyato Dusit⁴^ORCID,Poor H. Vincent⁵^ORCID,Cui Shuguang⁶^ORCID

Affiliation:

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

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

3. Bradley Department of Electrical and Computer Engineering, Virginia Tech, Wireless@VT, Arlington, VA, USA

4. School of Computer Science and Engineering (SCSE), NTU, Jurong West, Singapore

5. Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA

6. School of Science and Engineering (SSE), Guangdong Provincial Key Laboratory of Future Networks of Intelligence, Future Network of Intelligence Institute (FNii), The Chinese University of Hong Kong, Shenzhen, China

Funder

National Natural Science Foundation of China

Basic Research Project of Hetao Shenzhen-Hong Kong Science and Technology Cooperation Zone

ational Research Foundation, Singapore and Infocomm Media Development Authority under its Future Communications Research and Development Program

AI Singapore Program

Singapore Ministry of Education (MOE) Tier 1

National Key Research and Development Program of China

Shenzhen Outstanding Talents Training Fund

Guangdong Research

Guangdong Provincial Key Laboratory of Future Networks of Intelligence

U.S. National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

https://ieeexplore.ieee.org/ielam/49/9863724/9832831-aam.pdf

Reference38 articles.

1. Trust region policy optimization;schulman;Proc 32nd Int Conf Mach Learn,2015

2. BERT: Pre-training of deep bidirectional transformers for language understanding;devlin;arXiv 1810 04805,2018

3. Attention is all you need;vaswani;Proc Int Conf Neural Inf Process,2017

4. Proximal policy optimization algorithms;schulman;arXiv 1707 06347,2017

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