Conference paper Open Access

Markovian Models of Solar Power Supply for a LTE Macro BS

Giuseppe Leonardi; Michela Meo; Marco Ajmone Marsan

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      <creatorName>Giuseppe Leonardi</creatorName>
      <affiliation>Politecnico di Torino</affiliation>
      <creatorName>Michela Meo</creatorName>
      <affiliation>Politecnico di Torino</affiliation>
      <creatorName>Marco Ajmone Marsan</creatorName>
      <affiliation>Politecnico di Torino, IMDEA Networks Institute</affiliation>
    <title>Markovian Models of Solar Power Supply for a LTE Macro BS</title>
    <date dateType="Issued">2016-07-14</date>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
    <alternateIdentifier alternateIdentifierType="url"></alternateIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1109/ICC.2016.7510698</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf"></relatedIdentifier>
    <rights rightsURI="">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;We consider a solar power supply for a LTE macro base station (BS) based on a photovoltaic (PV) panel and a battery, and we develop two discrete-time Markov chain (DTMC) models for the analysis and the dimensioning of the system elements (PV panel size and battery capacity). The DTMC models&lt;br&gt;
account for the solar irradiance levels in pairs or triples of consecutive days, and for the quantity of energy stored in the battery. From the DTMC steady-state (or transient) solution it is possible to derive performance metrics on which the system dimensioning can be based. We apply our models to BS locations in southern and northern Italy. Results show that the simpler model contains sufficient details for an effective system design.&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>
      <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>
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