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dc.contributor.authorKoutlia, Katerina
dc.contributor.authorBojovic, Biljana
dc.contributor.authorLagén Morancho, Sandra
dc.contributor.authorGiupponi, Lorenza
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Enginyeria Telemàtica
dc.date.accessioned2021-10-06T09:07:00Z
dc.date.issued2021
dc.identifier.citationKoutlia, K. [et al.]. Novel radio environment map for the ns-3 NR simulator. A: Workshop on ns-3. "Workshop on Ns-3 (WNS3 2021): Virtual Event, USA: June 23-24, 2021: proceedings". New York: Association for Computing Machinery (ACM), 2021, p. 41-48. ISBN 978-1-4503-9034-7. DOI 10.1145/3460797.3460803.
dc.identifier.isbn978-1-4503-9034-7
dc.identifier.urihttp://hdl.handle.net/2117/353097
dc.description.abstractRadio Environmental Map (REM) is a useful tool to visualize the network coverage, including signal quality and interference, in multi-cell scenarios. Although REM maps for omnidirectional transmissions/receptions and tools to visualize the spatial shape of a single directional transmission are available in ns-3, for example in the Long Term Evolution (LTE) and WiGig modules, respectively, REM maps for directional transmissions/receptions in multi-cell scenarios are not available yet, despite the fact that they constitute an extremely useful tool for the beam design phase in complex realistic settings. In this paper, we present a REM map implementation that includes various REM map definitions for multi-cell scenarios with directional transmissions/receptions. This includes Beam Shape REM maps, in which a pre-configured beam at each transmitting device is used, and Coverage Area REM maps, in which a worst-case propagation scenario is considered for each location, assuming the worst-case directional interference towards each point of reception of the REM map. We particularize REM maps for Downlink (DL) and Uplink (UL) communications, as well as for heterogeneous networks and scenarios with blockages originated by the surrounding environment. Finally, we present multiple illustrative images as examples of each of the possible REM maps that can be extracted with the newly developed tool. The work presented in this paper is publicly available in the 5G-LENA module.
dc.description.sponsorshipThis work has been partially funded by the Spanish MINECO grant TEC2017-88373-R (5G-REFINE) and Generalitat de Catalunya grant 2017 SGR 1195. The work received funding from the USA Defense Spectrum Organization (DSO) under the Spectrum Sharing Test and Demonstration (SSTD) Program in the context of the S3 project. The authors would also like to acknowledge Peter Barnes at Lawrence Livermore National Lab. and the S3 team for feedbacks and fruitful collaborations.
dc.format.extent8 p.
dc.language.isoeng
dc.publisherAssociation for Computing Machinery (ACM)
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject.lcshMobile communication systems
dc.subject.lcshNetwork performance (Telecommunication)
dc.titleNovel radio environment map for the ns-3 NR simulator
dc.typeConference report
dc.subject.lemacComunicacions mòbils, Sistemes de
dc.subject.lemacQualitat del servei (Telecomunicació)
dc.contributor.groupUniversitat Politècnica de Catalunya. SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions
dc.identifier.doi10.1145/3460797.3460803
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://dl.acm.org/doi/abs/10.1145/3460797.3460803
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac31862772
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TEC2017-88373-R/ES/REDES 5G EFICIENTES EN RECURSOS/
dc.date.lift10000-01-01
local.citation.authorKoutlia, K.; Bojovic, B.; Lagen, S.; Giupponi, L.
local.citation.contributorWorkshop on ns-3
local.citation.pubplaceNew York
local.citation.publicationNameWorkshop on Ns-3 (WNS3 2021): Virtual Event, USA: June 23-24, 2021: proceedings
local.citation.startingPage41
local.citation.endingPage48


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