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Measurement-Based Stochastical mmWave Channel Modeling
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-8647-436X
Ericsson Research AB.
Ericsson Research AB.
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Number of Authors: 5
2016 (English)In: 2016 IEEE Globecom Workshops (GC Wkshps), Piscataway, NJ: IEEE Communications Society, 2016, 7848959Conference paper, Published paper (Refereed)
Abstract [en]

Emerging mmWave technology will require newchannel models. Compared to the lower frequency bands,mmWaves will be more reflected and absorbed but less diffracted.Hence, placement of individual physical structures in the en-vironment will affect the propagation much more than before,providing a challenge for channel modeling. At the same time,however, an increasing amount of information about the topologyof the physical environment, in particular for buildings, is madeavailable through better measurement equipment and servicesfor obtaining 3D data. We propose a Monte-Carlo approachfor channel modeling where interactions between mmWaves andthe surrounding small-scale environment can be included, givena stochastic representation. This method is not only suitablefor assessment of basic effects such as material reflection andabsorption, but can also in the future be extended to variousadditional effects such as weather, traffic, foliage, etc. Theframework is verified against 15 GHz measurements from anurban environment, demonstrating how major reflection pathscan be replicated by modeling the closest buildings.IndexTerms

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2016. 7848959
Series
IEEE Globecom Workshops, ISSN 2166-0069
National Category
Engineering and Technology Signal Processing
Research subject
Signal Processing
Identifiers
URN: urn:nbn:se:ltu:diva-60740DOI: 10.1109/GLOCOMW.2016.7848959ISI: 000401921400161Scopus ID: 2-s2.0-85015939365ISBN: 978-1-5090-2482-7 (electronic)OAI: oai:DiVA.org:ltu-60740DiVA: diva2:1050236
Conference
IEEE International Conference on Global Communications (GLOBECOM 2016), First International Workshop on 5G Millimeter-Wave Channel Models (5GMW), Washington DC, USA, 4-8 December 2016
Available from: 2016-11-28 Created: 2016-11-28 Last updated: 2017-06-15Bibliographically approved

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CiteExportLink to record
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