Nikbakht Silab, RasoulJonsson, Anders, 1973-Lozano Solsona, Angel2019-04-112018Nikbakht 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.2018.8647510http://hdl.handle.net/10230/37087We 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.application/pdfeng© 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.2018.8647510info:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/GLOCOM.2018.8647510KernelLoss measurementBase stationsDictionariesShadow mappingHilbert spaceTraininginfo:eu-repo/semantics/openAccess