Channel prediction using lumpable finite-state Markov channels in OFDMA systems Chee, Tommy K, Lim, Cheng-Chew and Choi, Jinho 2006, Channel prediction using lumpable finite-state Markov channels in OFDMA systems, in IEEE Vehicular Technology Conference, IEEE,, pp. 1560-1564. Attached Files Name Description MIMEType Size Downloads Title Channel prediction using lumpable finite-state Markov channels in OFDMA systems Author(s) Chee, Tommy K Lim, Cheng-Chew Choi, Jinho orcid.org/0000-0002-4895-6680 Conference name 63rd IEEE Vehicular Technology Conference Conference location Melbourne, AUSTRALIA Conference dates 2006/05/07 - 2006/05/10 Title of proceedings IEEE Vehicular Technology Conference Publication date 2006 Series IEEE Vehicular Technology Conference Proceedings Start page 1560 End page 1564 Total pages 5 Publisher IEEE Keyword(s) Science & Technology Technology Engineering, Electrical & Electronic Telecommunications Transportation Science & Technology Engineering Transportation RAYLEIGH FADING CHANNEL MODEL ISBN 0780393929 9780780393929 ISSN 1550-2252 Language eng Indigenous content off HERDC Research category E1.1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30126282 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   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 Tue, 16 Jul 2019, 13:26:30 EST Wed, 17 Jul 2019, 05:01:51 EST Wed, 17 Jul 2019, 06:06:43 EST Wed, 02 Dec 2020, 07:45:17 EST Wed, 02 Dec 2020, 07:46:38 EST Wed, 02 Dec 2020, 14:57:07 EST Filtered Full Citation counts:   Cited 4 times in TR Web of Science Cited 6 times in Scopus Search Google Scholar Access Statistics: 119 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Tue, 16 Jul 2019, 13:26:30 EST