A Reinforcement Learning Approach to Age of Information in Multi-User Networks With HARQ-Reference-Cited by-同舟云学术

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A Reinforcement Learning Approach to Age of Information in Multi-User Networks With HARQ

Published:2021-05 Issue:5 Volume:39 Page:1412-1426
ISSN:0733-8716
Container-title:IEEE Journal on Selected Areas in Communications
language:
Short-container-title:IEEE J. Select. Areas Commun.

Author:

Ceran Elif Tugce,Gunduz Deniz,Gyorgy Andras

Funder

European Research Council (ERC) Starting Grant BEACON

U.K. EPSRC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/49/9405511/09376717.pdf?arnumber=9376717

Cited by 52 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Distributed DDPG-Based Resource Allocation for Age of Information Minimization in Mobile Wireless-Powered Internet of Things;IEEE Internet of Things Journal;2024-09-01

2. Reinforcement Learning for Age of Information Aware Transmission Policies in Slotted ALOHA Channels;2024 19th International Symposium on Wireless Communication Systems (ISWCS);2024-07-14

3. Age-Optimal Packet Scheduling With Resource Constraint and Feedback Delay;IEEE Transactions on Communications;2024-07

4. Minimizing the Age of Incorrect Information for Status Update Systems with Energy Harvesting;ICC 2024 - IEEE International Conference on Communications;2024-06-09

5. Collaborative Optimization of the Age of Information Under Partial Observability;2024 IFIP Networking Conference (IFIP Networking);2024-06-03

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