Linear finite state Markov chain predictor for channel prediction

Zhang, J; Smith, D; Chen, Z

Linear finite state Markov chain predictor for channel prediction

Zhang, J

Smith, D Chen, Z

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Publication Type:: Conference Proceeding
Citation:: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, 2012, pp. 2085 - 2089
Issue Date:: 2012-12-01

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Field	Value	Language
dc.contributor.author	Zhang, J https://orcid.org/0000-0002-6102-3762	en_US
dc.contributor.author	Smith, D	en_US
dc.contributor.author	Chen, Z	en_US
dc.date.issued	2012-12-01	en_US
dc.identifier.citation	IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, 2012, pp. 2085 - 2089	en_US
dc.identifier.isbn	9781467325691	en_US
dc.identifier.uri	http://hdl.handle.net/10453/121181
dc.description.abstract	Channel prediction, which predicts a future channel gain based on current and past observations, is very useful for power control and resource optimization in wireless communication systems. However, a low-complexity predictor with trustworthy prediction accuracy is yet to be developed. This paper proposes a linear predictor and two linear Markov predictors, which achieve a good balance between complexity and accuracy. © 2012 IEEE.	en_US
dc.relation.ispartof	IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC	en_US
dc.relation.isbasedon	10.1109/PIMRC.2012.6362698	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Linear finite state Markov chain predictor for channel prediction	en_US
dc.type	Conference Proceeding
utslib.for	1005 Communications Technologies	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

Channel prediction, which predicts a future channel gain based on current and past observations, is very useful for power control and resource optimization in wireless communication systems. However, a low-complexity predictor with trustworthy prediction accuracy is yet to be developed. This paper proposes a linear predictor and two linear Markov predictors, which achieve a good balance between complexity and accuracy. © 2012 IEEE.

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http://hdl.handle.net/10453/121181