Analysis of non-orthogonal sequences for grant-free RA with massive MIMO Ding, Jie, Qu, Daiming and Choi, Jinho 2020, Analysis of non-orthogonal sequences for grant-free RA with massive MIMO, IEEE transactions on communications, vol. 68, no. 1, pp. 150-160, doi: 10.1109/TCOMM.2019.2950014. Attached Files Name Description MIMEType Size Downloads Title Analysis of non-orthogonal sequences for grant-free RA with massive MIMO Author(s) Ding, Jie Qu, Daiming Choi, Jinho orcid.org/0000-0002-4895-6680 Journal name IEEE transactions on communications Volume number 68 Issue number 1 Start page 150 End page 160 Total pages 11 Publisher Institute of Electrical and Electronics Engineers Place of publication Piscataway, N.J. Publication date 2020-01 ISSN 0090-6778 1558-0857 Keyword(s) Grant-free Random access Non-orthogonal sequence Massive MIMO mMTC Science & Technology Technology Engineering, Electrical & Electronic Telecommunications Engineering NOMA Wireless communication Simulation Antenna arrays Payloads Language eng DOI 10.1109/TCOMM.2019.2950014 Indigenous content off Field of Research 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:30134553 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   Connect to Elements publication management system 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 Wed, 05 Feb 2020, 10:24:19 EST Thu, 06 Feb 2020, 04:00:42 EST Thu, 06 Feb 2020, 05:04:59 EST Mon, 10 Feb 2020, 10:09:07 EST Mon, 10 Feb 2020, 10:11:01 EST Filtered Full Citation counts:   Cited 19 times in TR Web of Science Cited 19 times in Scopus Search Google Scholar Access Statistics: 261 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Wed, 05 Feb 2020, 10:24:19 EST