Log in to save to my catalogue

A Deep Reinforcement Learning Scheme for Spectrum Sensing and Resource Allocation in ITS

A Deep Reinforcement Learning Scheme for Spectrum Sensing and Resource Allocation in ITS

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_22e8426adcfc43019e1460bc345c5570

A Deep Reinforcement Learning Scheme for Spectrum Sensing and Resource Allocation in ITS

About this item

Full title

A Deep Reinforcement Learning Scheme for Spectrum Sensing and Resource Allocation in ITS

Publisher

Basel: MDPI AG

Journal title

Mathematics (Basel), 2023-08, Vol.11 (16), p.3437

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

In recent years, the Internet of Vehicles (IoV) has been found to be of huge potential value in the promotion of the development of intelligent transportation systems (ITSs) and smart cities. However, the traditional scheme in IoV has difficulty in dealing with an uncertain environment, while reinforcement learning has the advantage of being able t...

Alternative Titles

Full title

A Deep Reinforcement Learning Scheme for Spectrum Sensing and Resource Allocation in ITS

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_22e8426adcfc43019e1460bc345c5570

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_22e8426adcfc43019e1460bc345c5570

Other Identifiers

ISSN

2227-7390

E-ISSN

2227-7390

DOI

10.3390/math11163437

How to access this item