Random access with layered preambles based on NOMA for two different types of devices in MTC Choi, Jinho 2021, Random access with layered preambles based on NOMA for two different types of devices in MTC, IEEE transactions on wireless communications, vol. 20, no. 2, pp. 871-881, doi: 10.1109/TWC.2020.3028989. Attached Files Name Description MIMEType Size Downloads Title Random access with layered preambles based on NOMA for two different types of devices in MTC Author(s) Choi, Jinho orcid.org/0000-0002-4895-6680 Journal name IEEE transactions on wireless communications Volume number 20 Issue number 2 Start page 871 End page 881 Total pages 11 Publisher Institute of Electrical and Electronics Engineers Place of publication Piscataway, N.J. Publication date 2021-02 ISSN 1536-1276 1558-2248 Keyword(s) Science & Technology Technology Engineering, Electrical & Electronic Telecommunications Engineering NOMA Internet of Things Delays Quality of service Performance evaluation Sensors Bandwidth Machine-type communication random access preambles power-domain NOMA Language eng DOI 10.1109/TWC.2020.3028989 Indigenous content off Field of Research 0805 Distributed Computing 0906 Electrical and Electronic Engineering 1005 Communications Technologies HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30149260 Document type: Journal Article 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 Thu, 18 Mar 2021, 07:14:49 EST Thu, 18 Mar 2021, 08:18:44 EST Fri, 19 Mar 2021, 04:01:11 EST Fri, 19 Mar 2021, 05:07:35 EST Mon, 29 Mar 2021, 11:07:46 EST Mon, 29 Mar 2021, 11:09:06 EST Mon, 29 Mar 2021, 14:47:02 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 11 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Thu, 18 Mar 2021, 08:18:44 EST

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