Optimal and robust power allocation for visible light positioning systems under illumination constraints

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buir.contributor.authorKeskin, Musa Furkan
buir.contributor.authorSezer, Ahmet Dündar
buir.contributor.authorGezici, Sinan
dc.citation.epage542en_US
dc.citation.issueNumber1en_US
dc.citation.spage527en_US
dc.citation.volumeNumber67en_US
dc.contributor.authorKeskin, Musa Furkanen_US
dc.contributor.authorSezer, Ahmet Dündaren_US
dc.contributor.authorGezici, Sinanen_US
dc.date.accessioned2020-02-04T07:58:27Z
dc.date.available2020-02-04T07:58:27Z
dc.date.issued2019-01
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractThe problem of optimal power allocation among light emitting diode (LED) transmitters in a visible light positioning system is considered for the purpose of improving localization performance of visible light communication (VLC) receivers. Specifically, the aim is to minimize the Cramér-Rao lower bound (CRLB) on the localization error of a VLC receiver by optimizing LED transmission powers in the presence of practical constraints, such as individual and total power limitations and illuminance constraints. The formulated optimization problem is shown to be convex and thus can efficiently be solved via standard tools. We also investigate the case of imperfect knowledge of localization parameters and develop robust power allocation algorithms by taking into account both overall system uncertainty and individual parameter uncertainties related to the location and orientation of the VLC receiver. In addition, we address the total power minimization problem under predefined accuracy requirements to obtain the most energy-efficient power allocation vector for a given CRLB level. Numerical results illustrate the improvements in localization performance achieved by employing the proposed optimal and robust power allocation strategies over the conventional uniform and non-robust approaches.en_US
dc.description.provenanceSubmitted by Evrim Ergin (eergin@bilkent.edu.tr) on 2020-02-04T07:58:27Z No. of bitstreams: 1 Optimal_and_robust_power_allocation_for_visible_light_positioning_systems_under_illumination_constraints.pdf: 1799148 bytes, checksum: 4b50d06a53d41f1459cb3ef0a32e4875 (MD5)en
dc.description.provenanceMade available in DSpace on 2020-02-04T07:58:27Z (GMT). No. of bitstreams: 1 Optimal_and_robust_power_allocation_for_visible_light_positioning_systems_under_illumination_constraints.pdf: 1799148 bytes, checksum: 4b50d06a53d41f1459cb3ef0a32e4875 (MD5) Previous issue date: 2019-01en
dc.identifier.doi10.1109/TCOMM.2018.2866849en_US
dc.identifier.issn0090-6778
dc.identifier.urihttp://hdl.handle.net/11693/53032
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttps://doi.org/10.1109/TCOMM.2018.2866849en_US
dc.source.titleIEEE Transactions on Communicationsen_US
dc.subjectVisible light positioningen_US
dc.subjectPower allocationen_US
dc.subjectRobust designen_US
dc.subjectConvex optimizationen_US
dc.subjectSemidefinite programmingen_US
dc.subjectIterative entropic regularizationen_US
dc.titleOptimal and robust power allocation for visible light positioning systems under illumination constraintsen_US
dc.typeArticleen_US

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