Dual-kernel online reconstruction of power maps
Mostra el registre complet Registre parcial de l'ítem
- dc.contributor.author Nikbakht Silab, Rasoul
- dc.contributor.author Jonsson, Anders, 1973-
- dc.contributor.author Lozano Solsona, Angel
- dc.date.accessioned 2019-04-11T07:18:40Z
- dc.date.issued 2018
- dc.description.abstract We present a measurement-driven algorithm to map the large-scale channel losses observed between a cellular base station and any point in its coverage area. The algorithm is on-line, meaning that it operates on continuously arriving measurements. Its distinguishing features are the use of two kernel functions, suitably chosen for the problem at hand, and a simple technique to sparsify the dictionary of measurements retained in memory. Evaluations in campus and urban settings indicate that the proposed algorithm reduces, roughly in half, the prediction error of existing single-kernel and multikernel algorithms.
- dc.description.sponsorship Work supported by the Spanish Ministry of Economy and Competitiveness under the Maria de Maeztu Units of Excellence Programme (MDM-2015-0502), TEC2015-66228-P, and the European Research Council (grant agreement 694974).
- dc.format.mimetype application/pdf
- dc.identifier.citation Nikbakht R, Jonsson A, Lozano A. Dual-kernel online reconstruction of power maps. In: IEEE Global Communications Conference 2018; 2018 December 9-13; Abu Dhabi, United Arab Emirates. New Jersey: Institute of Electrical and Electronics Engineers; 2018. [5 p.]. DOI: 10.1109/GLOCOM.2018.8647510
- dc.identifier.doi http://dx.doi.org/10.1109/GLOCOM.2018.8647510
- dc.identifier.uri http://hdl.handle.net/10230/37087
- dc.language.iso eng
- dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
- dc.relation.ispartof IEEE Global Communications Conference 2018; 2018 December 9-13; Abu Dhabi, United Arab Emirates. New Jersey: Institute of Electrical and Electronics Engineers; 2018. [5 p.].
- dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TEC2015-66228-P
- dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/694974
- dc.rights © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The final published article can be found at https://dx.doi.org/10.1109/GLOCOM.2018.8647510
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.subject.keyword Kernel
- dc.subject.keyword Loss measurement
- dc.subject.keyword Base stations
- dc.subject.keyword Dictionaries
- dc.subject.keyword Shadow mapping
- dc.subject.keyword Hilbert space
- dc.subject.keyword Training
- dc.title Dual-kernel online reconstruction of power maps
- dc.type info:eu-repo/semantics/conferenceObject
- dc.type.version info:eu-repo/semantics/acceptedVersion