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dc.contributor.authorShubhi, I.
dc.contributor.authorPamungkasari, P.
dc.contributor.authorJuwono, Filbert Hilman
dc.contributor.authorDharmanto, S.
dc.date.accessioned2018-12-13T09:08:43Z
dc.date.available2018-12-13T09:08:43Z
dc.date.created2018-12-12T02:47:05Z
dc.date.issued2018
dc.identifier.citationShubhi, I. and Pamungkasari, P. and Juwono, F.H. and Dharmanto, S. 2018. Interference suppression through power allocation for massive MIMO systems with channel aging, pp. 465-469.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/71079
dc.identifier.doi10.1109/WPMC.2017.8301858
dc.description.abstract

© 2017 IEEE. To acquire an optimum potential of massive multiple-input multiple-output (MIMO), congruity between pre-coder and the actual channel is required. This circumstance, however, is hard to obtain when the mobile station (MS) is moving in a multipath environment and experiencing channel aging. Suffering channel aging, a mismatch between the precoder matrix and the actual channel matrix occurs which causes interuser interference at the MS. To tackle this problem, we propose a channel prediction based power allocation technique for time-varying massive MIMO. First, we estimate Doppler shift experienced by the BS to create a channel prediction. Afterward, we conduct recursive power allocation with the goal of minimizing channel aging effect at the MS. Using the proposed technique, each MS only suffers a certain interference level which still can be handled by the MS. Through computer simulation, it is shown that our proposed technique enables the time-varying massive MIMO transmission without a significant addition to computational complexity.

dc.titleInterference suppression through power allocation for massive MIMO systems with channel aging
dc.typeConference Paper
dcterms.source.volume2017-December
dcterms.source.startPage465
dcterms.source.endPage469
dcterms.source.titleInternational Symposium on Wireless Personal Multimedia Communications, WPMC
dcterms.source.seriesInternational Symposium on Wireless Personal Multimedia Communications, WPMC
dcterms.source.isbn9781538627679
curtin.departmentCurtin Malaysia
curtin.accessStatusFulltext not available


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