Stochastic Geometric Coverage Analysis in mmWave Cellular Networks with a Realistic Channel Model Rebato, Mattia, Park, Jihong, Popovski, Petar, De Carvalho, Elisabeth and Zorzi, Michele 2017, Stochastic Geometric Coverage Analysis in mmWave Cellular Networks with a Realistic Channel Model, in GLOBECOM 2017 : Proceedings of the 2017 IEEE Global Communications Conference, IEEE, Piscataway, N.J., pp. 1-6, doi: 10.1109/GLOCOM.2017.8254626. Attached Files Name Description MIMEType Size Downloads Title Stochastic Geometric Coverage Analysis in mmWave Cellular Networks with a Realistic Channel Model Author(s) Rebato, Mattia Park, Jihong orcid.org/0000-0001-7623-6552 Popovski, Petar De Carvalho, Elisabeth Zorzi, Michele Conference name Global Telecommunications. Conference (2017 : Singapore) Conference location Singapore Conference dates 4-8 Dec. 2017 Title of proceedings GLOBECOM 2017 : Proceedings of the 2017 IEEE Global Communications Conference Publication date 2017 Start page 1 End page 6 Total pages 6 Publisher IEEE Place of publication Piscataway, N.J. Keyword(s) Millimeter-wave channel models large-scale networks stochastic geometry performance analysis ISBN 9781509050192 Language eng DOI 10.1109/GLOCOM.2017.8254626 Indigenous content off HERDC Research category E1.1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30139713 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Tue, 07 Jul 2020, 08:33:03 EST Wed, 08 Jul 2020, 05:00:32 EST Wed, 08 Jul 2020, 06:03:40 EST Mon, 27 Jul 2020, 13:58:56 EST Mon, 27 Jul 2020, 14:00:52 EST Sat, 14 Nov 2020, 01:31:08 EST Filtered Full Citation counts:   Cited 2 times in TR Web of Science Cited 10 times in Scopus Search Google Scholar Access Statistics: 55 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Tue, 07 Jul 2020, 08:33:03 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.