Distributed Reinforcement Learning for Optimizing Age of Information and Energy Consumption in Wireless Powered IoT Systems-Reference-Cited by-同舟云学术

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Distributed Reinforcement Learning for Optimizing Age of Information and Energy Consumption in Wireless Powered IoT Systems

Published:2023-05-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things
language:
Short-container-title:

Author:

Xu Xianzhe¹^ORCID,Liu Nan¹^ORCID,Pan Zhiwen¹^ORCID

Affiliation:

1. TheNationalMobileCommunicationsResearchLaboratory, Southeast University, China

Funder

National Natural Science Foundation of China under Grants

Research Fund of National Mobile Communications Research Laboratory, Southeast University

Fundamental Research Funds for the Central Universities

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3603781.3603924

Reference26 articles.

1. Timely Updates in Energy Harvesting Two-Hop Networks: Offline and Online Policies

2. Age-Minimal Transmission for Energy Harvesting Sensors With Finite Batteries: Online Policies

3. Achieving the Age-Energy Tradeoff with a Finite-Battery Energy Harvesting Source

4. Sending Information Through Status Updates

5. Is the Zero-Wait Policy Always Optimum for Information Freshness (Peak Age) or Throughput?

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