Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/534
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dc.contributor.authorDaba, Jihad S.en_US
dc.date.accessioned2020-12-23T08:32:01Z-
dc.date.available2020-12-23T08:32:01Z-
dc.date.issued2015-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/534-
dc.description.abstractEstimation techniques for the signal-to-noise ratio play an increasingly vital role in the effective operation of wireless communication systems. This paper presents stochastic models and estimation algorithms for the average received signal-to-interference-noise ratio (SINR) in local fading area channels with a finite random number of scatterers for wireless single-input-single-output (SISO) and multiple-input-multiple-output (MIMO) systems. The stochastic models for the SINR are based on a doubly stochastic filtered compound Poisson point process. For each of these statistical models, we present optimal and computationally efficient estimation algorithms to determine the average SINR using received diffuse power measurements. We show that the maximum likelihood estimator is optimal in the sense that the variance of the error is the smallest possible using any other conceivable estimate having the same bias with the same data. Efficient estimation of the SINR also allows accurate quantification of the bit error rate and average channel capacity for adequate quality of service (QoS) and network link resource allocation.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.subjectChannel capacityen_US
dc.subjectError statisticsen_US
dc.subjectFading channelsen_US
dc.subjectMIMO communicationen_US
dc.subjectQuality of serviceen_US
dc.subjectResource allocationen_US
dc.subject.lcshStochastic processesen_US
dc.titleEstimation of the SNR for wireless systems in a local fading environment with multi-element antennasen_US
dc.typeConference Paperen_US
dc.relation.conferenceEuropean Signal Processing Conference (13th : 4-8 Sept 2005 : Antalya, Turkey)en_US
dc.contributor.affiliationDepartment of Electrical Engineeringen_US
dc.date.catalogued2018-02-05-
dc.description.statusPublisheden_US
dc.identifier.ezproxyURLhttp://ezsecureaccess.balamand.edu.lb/login?url=http://ieeexplore.ieee.org/document/7078434/en_US
dc.identifier.OlibID177468-
dc.relation.ispartoftextSignal Processing Conference, 2005 13th Europeanen_US
dc.provenance.recordsourceOliben_US
crisitem.author.parentorgFaculty of Engineering-
Appears in Collections:Department of Electrical Engineering
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