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dc.contributor.authorChiong, Choo
dc.contributor.authorRong, Yue
dc.contributor.authorXiang, Y.
dc.date.accessioned2017-01-30T14:44:50Z
dc.date.available2017-01-30T14:44:50Z
dc.date.created2013-08-07T20:00:23Z
dc.date.issued2013
dc.identifier.citationChiong, Choo W.R. and Rong, Yue and Xiang, Yong. 2013. Channel training algorithms for two-way MIMO relay systems. IEEE Transactions on Signal Processing. 61 (16): pp. 3988-3998.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/40681
dc.identifier.doi10.1109/TSP.2013.2265223
dc.description.abstract

Two-way relay systems are known to be capable of providing higher spectral efficiency compared with conventional one-way relay systems. However, the channel estimation problem for two-way relay systems is more complicated than that of one-way relay systems. In this paper, we propose and compare two channel estimation algorithms, namely the superimposed channel training scheme and the two-stage channel estimation algorithm, for two-way multiple-input multiple-output (MIMO) relay communication systems, where the individual channel state information (CSI) for the first-hop and second-hop links is estimated. For both algorithms, we derive the optimal structure of the source and relay training sequences which minimize the mean-squared error (MSE) of channel estimation. In the superimposed channel training scheme, the power allocation between the source and relay training sequences is optimized. For the two-stage channel estimation algorithm, we optimize the power allocation at the relay node between two stages to improve the performance of the algorithm. Numerical examples are shown to demonstrate and compare the performance of the proposed channel training algorithms.

dc.publisherI E E E
dc.subjecttwo-way relay
dc.subjectsuperimposed training
dc.subjectMIMO relay
dc.subjectMMSE
dc.subjectpower allocation
dc.subjectchannel estimation
dc.titleChannel training algorithms for two-way MIMO relay systems
dc.typeJournal Article
dcterms.source.volume61
dcterms.source.issn1053-587X
dcterms.source.titleIEEE Transactions on Signal Processing
curtin.note

Copyright © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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curtin.accessStatusOpen access


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