Journal article Open Access

C.F. Chiasserini; F. Malandrino; M. Sereno

### DataCite XML Export

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<identifier identifierType="URL">https://zenodo.org/record/1068979</identifier>
<creators>
<creator>
<creatorName>C.F. Chiasserini</creatorName>
<affiliation>Politecnico di Torino</affiliation>
</creator>
<creator>
<creatorName>F. Malandrino</creatorName>
<affiliation>Politecnico di Torino</affiliation>
</creator>
<creator>
<creatorName>M. Sereno</creatorName>
<affiliation>Universita degli Studi di Torino</affiliation>
</creator>
</creators>
<titles>
</titles>
<publisher>Zenodo</publisher>
<publicationYear>2017</publicationYear>
<dates>
<date dateType="Issued">2017-09-01</date>
</dates>
<language>en</language>
<resourceType resourceTypeGeneral="Text">Journal article</resourceType>
<alternateIdentifiers>
<alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1068979</alternateIdentifier>
</alternateIdentifiers>
<relatedIdentifiers>
<relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1109/MVT.2017.2658687</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/5g-crosshaul</relatedIdentifier>
</relatedIdentifiers>
<rightsList>
<rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
</rightsList>
<descriptions>
advertisement dissemination process by means of an optimization&amp;nbsp;model that aims at maximizing the number of ads that users&amp;nbsp;display within the target area and validity period of the ad.&lt;br&gt;
We then solve the optimization problem, obtaining the optimal&amp;nbsp;scheduling strategy that RSUs and vehicles should adopt for&amp;nbsp;ad broadcasting. Our study highlights the important role that&amp;nbsp;vehicle-to-vehicle communication will have in ads delivery. Also,&amp;nbsp;it shows how coexisting vehicular and cellular networks can&lt;br&gt;
effectively complement each other, with vehicular networks being&amp;nbsp;a very efficient means for pervasive ad dissemination.&lt;/p&gt;</description>
<description descriptionType="Other">This work was supported through the 5G-Crosshaul project (H2020-671598) and by Fondazione CRT under the initiative La Ricerca dei Talenti.
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.</description>
</descriptions>
<fundingReferences>
<fundingReference>
<funderName>European Commission</funderName>
<funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
<awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/671598/">671598</awardNumber>
<awardTitle>5G-Crosshaul: The 5G Integrated fronthaul/backhaul</awardTitle>
</fundingReference>
</fundingReferences>
</resource>
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