Learning Centre

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

 |  Login

Show simple item record

dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Sheikh, Muhammad Usman
dc.contributor.author Jantti, Riku
dc.contributor.author Hamalainen, Jyri
dc.date.accessioned 2020-09-11T06:29:17Z
dc.date.available 2020-09-11T06:29:17Z
dc.date.issued 2020-05
dc.identifier.citation Sheikh , 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-Spring48590.2020.9129448 en
dc.identifier.isbn 9781728152073
dc.identifier.issn 1090-3038
dc.identifier.issn 2577-2465
dc.identifier.other PURE UUID: 026aef4c-754d-4b54-b026-bdd3a88efe45
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/impact-of-interference-suppression-under-ray-tracing-and-3gpp-street-canyon-model(026aef4c-754d-4b54-b026-bdd3a88efe45).html
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85088323532&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/51096466/Impact_of_Interference_Suppression_under_Ray_Tracing_and_3GPP_Street_Canyon_Model.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/46406
dc.description.abstract Channel 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.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartof IEEE Vehicular Technology Conference en
dc.relation.ispartofseries 2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedings en
dc.relation.ispartofseries IEEE Vehicular Technology Conference en
dc.rights openAccess en
dc.subject.other Computer Science Applications en
dc.subject.other Electrical and Electronic Engineering en
dc.subject.other Applied Mathematics en
dc.subject.other 213 Electronic, automation and communications engineering, electronics en
dc.title Impact of Interference Suppression under Ray Tracing and 3GPP Street Canyon Model en
dc.type A4 Artikkeli konferenssijulkaisussa fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Communications and Networking
dc.contributor.department Department of Communications and Networking en
dc.subject.keyword 3GPP
dc.subject.keyword 5G
dc.subject.keyword Interference
dc.subject.keyword Ray tracing
dc.subject.keyword Simulations
dc.subject.keyword System performance
dc.subject.keyword Computer Science Applications
dc.subject.keyword Electrical and Electronic Engineering
dc.subject.keyword Applied Mathematics
dc.subject.keyword 213 Electronic, automation and communications engineering, electronics
dc.identifier.urn URN:NBN:fi:aalto-202009115329
dc.identifier.doi 10.1109/VTC2020-Spring48590.2020.9129448
dc.type.version acceptedVersion


Files in this item

Files Size Format View

There are no open access files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search archive


Advanced Search

article-iconSubmit a publication

Browse