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dc.contributor.authorToding, Apriana
dc.contributor.authorKhandaker, Muhammad
dc.contributor.authorRong, Yue
dc.contributor.editorStephen Hanly
dc.date.accessioned2017-01-30T12:36:55Z
dc.date.available2017-01-30T12:36:55Z
dc.date.created2014-10-14T00:55:09Z
dc.date.issued2014
dc.identifier.citationToding, A. and Khandaker, M. and Rong, Y. 2014. Transceiver Optimization for MIMO Multi-Relay Systems Using Projected Gradient Approach, in S. Hanly (ed), The International Symposium on Information Theory and Its Applications, Oct 26-29 2014, pp. 635-639. Melbourne, Australia: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/23371
dc.description.abstract

In this paper, we develop the optimal source precoding matrix and relay amplifying matrices for non-regenerative multiple-input multiple-output (MIMO) relay communication systems with parallel relay nodes using the projected gradient (PG) approach. We show that the optimal relay amplifyingmatrices have a beamforming structure. Exploiting the structure of relay matrices, an iterative joint source and relay matrices optimization algorithm is developed to minimize the mean-squared error (MSE) of the signal waveform estimation at the destination using the PG approach. The performance of the proposed algorithm is demonstrated through numerical simulations.

dc.publisherIEEE
dc.relation.urihttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6979921v
dc.subjectbeamforming
dc.subjectparallel relay network
dc.subjectprojected gradient
dc.subjectMIMO relay
dc.subjectnon-regenerative relay
dc.titleTransceiver Optimization for MIMO Multi-Relay Systems Using Projected Gradient Approach
dc.typeConference Paper
dcterms.source.titleProceedings of the International Symposium on Information Theory and Its Applications
dcterms.source.seriesProceedings of the International Symposium on Information Theory and Its Applications
dcterms.source.conference-start-dateOct 26 2014
dcterms.source.conferencelocationMelbourne, Australia
dcterms.source.placePiscataway, NJ, USA
curtin.note

Copyright © 2014 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.

curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusOpen access


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