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Service caching decision‐making policy for mobile edge computing using deep reinforcement learning

Service caching decision‐making policy for mobile edge computing using deep reinforcement learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3092291511

Service caching decision‐making policy for mobile edge computing using deep reinforcement learning

About this item

Full title

Service caching decision‐making policy for mobile edge computing using deep reinforcement learning

Publisher

Stevenage: John Wiley & Sons, Inc

Journal title

IET Communications, 2023-02, Vol.17 (3), p.362-376

Language

English

Formats

Publication information

Publisher

Stevenage: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

Mobile user terminals in 5G networks can generate massive computational workloads, which require sufficient computation and caching resources, and the processors of user terminals cannot tackle these workloads. Emerging mobile edge computing (MEC) has become the key to solving the computation problem by offloading computation‐intensive workloads to...

Alternative Titles

Full title

Service caching decision‐making policy for mobile edge computing using deep reinforcement learning

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3092291511

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3092291511

Other Identifiers

ISSN

1751-8628

E-ISSN

1751-8636

DOI

10.1049/cmu2.12546

How to access this item