Journal article Open Access
Behet, Markus; Derluyn, Joff; Degroote, Stefan; Germain, Marianne
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.3706893</identifier> <creators> <creator> <creatorName>Behet, Markus</creatorName> <givenName>Markus</givenName> <familyName>Behet</familyName> <affiliation>Epigan</affiliation> </creator> <creator> <creatorName>Derluyn, Joff</creatorName> <givenName>Joff</givenName> <familyName>Derluyn</familyName> <affiliation>Epigan</affiliation> </creator> <creator> <creatorName>Degroote, Stefan</creatorName> <givenName>Stefan</givenName> <familyName>Degroote</familyName> <affiliation>Epigan</affiliation> </creator> <creator> <creatorName>Germain, Marianne</creatorName> <givenName>Marianne</givenName> <familyName>Germain</familyName> <affiliation>Epigan</affiliation> </creator> </creators> <titles> <title>Optimising GaN heterostructures for 5G</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2020</publicationYear> <dates> <date dateType="Issued">2020-02-06</date> </dates> <language>en</language> <resourceType resourceTypeGeneral="JournalArticle"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3706893</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3706892</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/serena-h2020</relatedIdentifier> </relatedIdentifiers> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><p>THE ROLL-OUT of 5G is great news for GaN. It is predicted to propel the market for RF devices made from this wide bandgap semiconductor to more than $2 billion by 2024, according to the French market analyst Yole D&eacute;veloppement. The move from 4G to 5G should be seen as part evolution, part revolution. Grabbing the most attention is the availability of enhanced mobile services, resulting from faster speeds, ultra-low latency, and a reduction in power consumption. However, 5G will also bring further investment in traditional machineto-machine and internet-of-things applications, and open up new market opportunities in mission critical services, such as autonomous vehicles, drones and &lsquo;telehealth&rsquo;. It is even expected that 5G will act as a catalyst for transformative changes of work processes, and will establish a new set of rules for competitive economic advantages. So great are these changes that IHS Markit forecasts 5G to enable $13.2 trillion of global economic output in 2035.</p></description> </descriptions> <fundingReferences> <fundingReference> <funderName>European Commission</funderName> <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier> <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/779305/">779305</awardNumber> <awardTitle>gan-on-Silicon Efficient mm-wave euRopean systEm iNtegration plAtform</awardTitle> </fundingReference> </fundingReferences> </resource>
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