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Massive MIMO for decentralized estimation over coherent multiple access channels

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dc.contributor.authorShirazinia, A.
dc.contributor.authorDey, S.
dc.contributor.authorCiuonzo, D.
dc.contributor.authorRossi, P.S.
dc.contributor.conference16th IEEE International Workshop on Signal Processing Advances inWireless Communications (28 Jun 2015 - 1 Jul 2015 : Stockholm, Sweden)
dc.date.issued2015
dc.description.abstractWe consider a decentralized multisensor estimation problem where L sensor nodes observe noisy versions of a possibly correlated random source. The sensors amplify and forward their observations over a fading coherent multiple access channel (MAC) to a fusion center (FC). The FC is equipped with a large array of N antennas, and adopts a minimum mean square error (MMSE) approach for estimating the source. We optimize the amplification factor (or equivalently transmission power) at each sensor node in two different scenarios: 1) with the objective of total power minimization subject to mean square error (MSE) of source estimation constraint, and 2) with the objective of minimizing MSE subject to total power constraint. For this purpose, we apply an asymptotic approximation based on the massive multiple-input-multiple-output (MIMO) favorable propagation condition (when L 蠐 N). We use convex optimization techniques to solve for the optimal sensor power allocation in 1) and 2). In 1), we show that the total power consumption at the sensors decays as 1/N, replicating the power savings obtained in Massive MIMO mobile communications literature. Through numerical studies, we also illustrate the superiority of the proposed optimal power allocation methods over uniform power allocation.
dc.identifier.citation2015 IEEE 16th international workshop on signal processing advances in wireless communications (SPAWC), 2015, vol.2015-August, pp.241-245
dc.identifier.doi10.1109/SPAWC.2015.7227036
dc.identifier.isbn9781479919307
dc.identifier.urihttps://hdl.handle.net/11541.2/126159
dc.language.isoen
dc.publisherIEEE
dc.publisher.placeUS
dc.source.urihttps://doi.org/10.1109/SPAWC.2015.7227036
dc.subjectMIMO
dc.subjectresource management
dc.subjectestimation
dc.subjectantennas
dc.subjectwireless communication
dc.subjectapproximation methods
dc.subjectoptimization
dc.titleMassive MIMO for decentralized estimation over coherent multiple access channels
dc.typeConference paper
pubs.publication-statusPublished
ror.mmsid9916128407101831

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