Energy Efficiency Maximization in RISs-Assisted UAVs-Based Edge Computing Network Using Deep Reinfor...
Energy Efficiency Maximization in RISs-Assisted UAVs-Based Edge Computing Network Using Deep Reinforcement Learning
About this item
Full title
Author / Creator
Luo, Chuanwen , Zhang, Jian , Guo, Jianxiong , Hong, Yi , Chen, Zhibo and Gu, Shuyang
Publisher
Beijing: Tsinghua University Press
Journal title
Language
English
Formats
Publication information
Publisher
Beijing: Tsinghua University Press
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Scope and Contents
Contents
Edge Computing (EC) pushes computational capability to the Terrestrial Devices (TDs), providing more efficient and faster computing solutions. Unmanned Aerial Vehicles (UAVs) equipped with EC servers can be flexibly deployed, even in complex terrains, to provide mobile computing services at all times. Meanwhile, UAVs can establish an air-to-ground...
Alternative Titles
Full title
Energy Efficiency Maximization in RISs-Assisted UAVs-Based Edge Computing Network Using Deep Reinforcement Learning
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_4eb8d63a5e4746e29c6eaac7fe47294e
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4eb8d63a5e4746e29c6eaac7fe47294e
Other Identifiers
ISSN
2096-0654
E-ISSN
2097-406X
DOI
10.26599/BDMA.2024.9020022
