Conference paper Open Access

# Dynamic Strict Fractional Frequency Reuse for Software-Defined 5G Networks

Anteneh A. Gebremariam; Tingnan Bao; Domenico Siracusa; Tinku Rasheed; Fabrizio Granelli; Leonardo Goratti

### DataCite XML Export

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<identifier identifierType="URL">https://zenodo.org/record/1044249</identifier>
<creators>
<creator>
<creatorName>Anteneh A. Gebremariam</creatorName>
<affiliation>University of Trento</affiliation>
</creator>
<creator>
<creatorName>Tingnan Bao</creatorName>
<affiliation>EIT ICT Labs</affiliation>
</creator>
<creator>
<creatorName>Domenico Siracusa</creatorName>
<affiliation>CREATE-NET</affiliation>
</creator>
<creator>
<creatorName>Tinku Rasheed</creatorName>
<affiliation>CREATE-NET</affiliation>
</creator>
<creator>
<creatorName>Fabrizio Granelli</creatorName>
<affiliation>University of Trento</affiliation>
</creator>
<creator>
<creatorName>Leonardo Goratti</creatorName>
<affiliation>CREATE-NET</affiliation>
</creator>
</creators>
<titles>
<title>Dynamic Strict Fractional Frequency Reuse for Software-Defined 5G Networks</title>
</titles>
<publisher>Zenodo</publisher>
<publicationYear>2016</publicationYear>
<subjects>
<subject>5G</subject>
<subject>Small Cells</subject>
<subject>Software–Defined Networking</subject>
<subject>FFR</subject>
<subject>Spatial Scheduling</subject>
<subject>SINR</subject>
<subject>MCS</subject>
</subjects>
<dates>
<date dateType="Issued">2016-07-14</date>
</dates>
<language>en</language>
<resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
<alternateIdentifiers>
<alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1044249</alternateIdentifier>
</alternateIdentifiers>
<relatedIdentifiers>
<relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1109/ICC.2016.7510890</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>
<description descriptionType="Abstract">&lt;p&gt;The surge of mobile data traffic has spurred academia and industries to begin developing 5G networks. 5G is meant to overcome limitations of 4G cellular technology relying on the dominant trend of mobile network densification with the deployment of small cell base stations. To accelerate this process, low complexity and inexpensive remote radio heads (RRHs) are deployed massively and connected to a centralized pool of resources. In this work, we study the problem of inter-cell interference (ICI) which arises in frequency reuse one multi-tier 5G networks. We entrust the management of RRHs to a softwaredefined network controller and we take advantage of network functions virtualization. Our contributions consist of proposing Dynamic Strict Fractional Frequency Reuse (DSFFR), a method&lt;br&gt;
to relieve ICI which dynamically divides the small cell area in a different number of sectors. Furthermore, we formulate a joint scheduling problem composed of two schedulers which operate at different time granularity to transmit downlink packets. &lt;br&gt;
Modeling the coverage area with the tool of stochastic geometry and solving with simulations the joint scheduling problem, we are able to show that DSFFR outperforms the static scheme.&lt;br&gt;
Performance are addressed in terms of spectral efficiency and packet blocking probability.&lt;/p&gt;</description>
<description descriptionType="Other">© 2016 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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