Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/15627
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dc.contributor.authorAl-Saedy, M-
dc.contributor.authorAl-Raweshidy, H-
dc.contributor.authorAl-Hmood, H-
dc.contributor.authorHaider, F-
dc.date.accessioned2018-01-11T16:12:32Z-
dc.date.available2018-01-11T16:12:32Z-
dc.date.issued2018-02-12-
dc.identifierORCiD: Hamed Al-Raweshidy https://orcid.org/0000-0002-3702-8192-
dc.identifierORCiD: Hussien Al-Hmood https://orcid.org/0000-0001-7637-5624-
dc.identifier.citationAl-Saedy, M. et al. (2018) 'Coverage and Effective Capacity in Downlink MIMO Multicell Networks With Power Control: Stochastic Geometry Modelling,' IEEE Access, 6, pp. 9173 - 9185. doi: 10.1109/ACCESS.2018.2794060.en_US
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/15627-
dc.description.abstractIn this paper, coverage probability and effective capacity in downlink multiple-antenna cellular system are considered. Two scenarios are investigated; in the first scenario, it is assumed that the system employs distance-based fractional power control with no multicell coordination. For the second scenario, we assume the system implements multicell coordinated beamforming so as to cancel intercell interference. For both scenarios, the BSs are assumed to randomly uniformly distributed in the area according to Poisson point process (PPP). Using tools from stochastic geometry, tractable, analytical expressions for coverage probability and effective capacity are derived for both scenarios. Numerical results reveal that for a system with stringent delay QoS constraints, i.e. (traffic delay is intolerable), best performance can be achieved by suitably adopting fractional power strategy when transmitting to the users, while constant power allocation performs better than all other power allocation strategies when the delay QoS constraints get loose (tolerable delay). For coverage probability, a fractional power control is better than constant power and channel inversion power strategies for low signal-to-interference plus noise ratio (SINR) thresholds, while the constant power strategy performs better than others in high SINR thresholds.en_US
dc.format.extent9173 - 9185-
dc.format.mediumElectronic-
dc.languageEnglish-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.rightsCreative Commons Attribution 4.0 International-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectcoverage probabilityen_US
dc.subjecteffective capacityen_US
dc.subjectstochastic geometryen_US
dc.subjectfractional power controlen_US
dc.subjectMIMOen_US
dc.subjectbeamformingen_US
dc.subjectdownlink-
dc.titleCoverage and Effective Capacity in Downlink MIMO Multicell Networks with Power Control Stochastic Geometry Modellingen_US
dc.typeArticleen_US
dc.date.dateAccepted2018-01-02-
dc.identifier.doihttps://doi.org/10.1109/ACCESS.2018.2794060-
dc.relation.isPartOfIEEE Access-
pubs.publication-statusPublished-
pubs.volume6-
dc.identifier.eissn2169-3536-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/legalcode.en-
dcterms.dateAccepted2018-01-02-
dc.rights.holderThe Authors-
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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