Weighted AoI Minimization for RIS-Assisted Multi-User mmWave Communications-Reference-Cited by-同舟云学术

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Weighted AoI Minimization for RIS-Assisted Multi-User mmWave Communications

Published:2023-10-20 Issue: Volume: Page:1544-1549
ISSN:
Container-title:2023 IEEE 23rd International Conference on Communication Technology (ICCT)
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Author:

Guo Ziqi¹,Niu Yong¹,Wen Shuxian¹,Fang Ying¹,Han Zhu²,Mao Shiwen³,Guan Shunji¹,Wang Ning⁴,Ai Bo¹

Affiliation:

1. Beijing Jiaotong University,State Key Laboratory of Advanced Rail Autonomous Operation,Beijing,China,100044

2. University of Houston,Department of Electrical and Computer Engineering,Houston,TX,USA,77004

3. Auburn University,Department of Electrical and Computer Engineering,Auburn,AL,USA,36849-5201

4. School of Information Engineering, Zhengzhou University,Zhengzhou,China,450001

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10419380/10419200/10419416.pdf?arnumber=10419416

Reference21 articles.

1. Age of Information: An Introduction and Survey

2. Minimizing Age of Information in Multi-Access Edge Computing-assisted IoT Networks

3. Age-optimal trajectory planning for UAV-assisted data collection

4. Joint Information Freshness and Completion Time Optimization for Vehicular Networks

5. Learning to Schedule Joint Radar-Communication With Deep Multi-Agent Reinforcement Learning

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