Impact of Interference Suppression under Ray Tracing and 3GPP Street Canyon Model

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorSheikh, Muhammad Usmanen_US
dc.contributor.authorJantti, Rikuen_US
dc.contributor.authorHamalainen, Jyrien_US
dc.contributor.departmentDepartment of Communications and Networkingen_US
dc.date.accessioned2020-09-11T06:29:17Z
dc.date.available2020-09-11T06:29:17Z
dc.date.issued2020-05en_US
dc.description.abstractChannel models are routinely used for evaluating the performance of wireless technologies and cellular networks. An appropriate channel model is necessary for a credible system analysis, and the shortcomings in the channel model may lead to erroneous conclusions. In this paper we characterize the impact of Interference Suppression (IS), Interference Cancellation (IC) and interference management on the system performance when using a) the 3rd Generation Partnership Project (3GPP) street canyon model (TR 38.901, Release 14), b) Shoot and Bouncing Ray (SBR) method based Ray Tracing (RT) model, and c) a proposed large scale path loss model in an urban, so-called Manhattan building grid environment. Simulations are performed using the 28 GHz carrier frequency that has been recently considered for the 5th Generation (5G) networks. Simulation results indicate that the 3GPP channel model provides slightly pessimistic path loss values than RT in Line of Sight (LOS) conditions, whereas in Non-LOS (NLOS) situation it gives a considerable pessimistic path loss estimation as compared with the deterministic RT approach. The difference between channel models is notable especially for the estimation of Signal to Interference plus Noise Ratio (SINR). Since RT provides realistic results due to accurate radio environment and signal modeling and, on the other hand, the correct SINR estimation is crucial for the wireless system evaluation. Our proposed path loss model is based on RT simulations. The performance of the proposed model for different performance metrics matches well with the RT results.en
dc.description.versionPeer revieweden
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationSheikh , M U , Jantti , R & Hamalainen , J 2020 , Impact of Interference Suppression under Ray Tracing and 3GPP Street Canyon Model . in 2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedings . , 9129448 , IEEE Vehicular Technology Conference , IEEE , IEEE Vehicular Technology Conference , Antwerp , Belgium , 25/05/2020 . https://doi.org/10.1109/VTC2020-Spring48590.2020.9129448en
dc.identifier.doi10.1109/VTC2020-Spring48590.2020.9129448en_US
dc.identifier.isbn9781728152073
dc.identifier.issn1090-3038
dc.identifier.issn2577-2465
dc.identifier.otherPURE UUID: 026aef4c-754d-4b54-b026-bdd3a88efe45en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/026aef4c-754d-4b54-b026-bdd3a88efe45en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85088323532&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/51096466/Impact_of_Interference_Suppression_under_Ray_Tracing_and_3GPP_Street_Canyon_Model.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/46406
dc.identifier.urnURN:NBN:fi:aalto-202009115329
dc.language.isoenen
dc.relation.ispartofIEEE Vehicular Technology Conferenceen
dc.relation.ispartofseries2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedingsen
dc.relation.ispartofseriesIEEE Vehicular Technology Conferenceen
dc.rightsopenAccessen
dc.subject.keyword3GPPen_US
dc.subject.keyword5Gen_US
dc.subject.keywordInterferenceen_US
dc.subject.keywordRay tracingen_US
dc.subject.keywordSimulationsen_US
dc.subject.keywordSystem performanceen_US
dc.titleImpact of Interference Suppression under Ray Tracing and 3GPP Street Canyon Modelen
dc.typeConference article in proceedingsfi
dc.type.versionacceptedVersion
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