Radio Map Estimation: A Data-Driven Approach to Spectrum Cartography

dc.contributor.authorRomero, Daniel
dc.contributor.authorKim, Seung-Jun
dc.date.accessioned2022-03-24T19:18:17Z
dc.date.available2022-03-24T19:18:17Z
dc.date.issued2022-02-01
dc.description.abstractRadio maps can be utilized to characterize a parameter of interest in a communication channel, such as the received signal strength, at every point of a certain geographical region. This article presents an introductory tutorial to radio map estimation, where radio maps are constructed using spatially distributed measurements. After describing the applications of this kind of maps, this article delves into estimation approaches. Starting by simple regression techniques, gradually more sophisticated algorithms are introduced until reaching state-of-the-art estimators. The presentation of this versatile toolkit is accompanied with toy examples to build up intuition and gain insight into the foundations of radio map estimation. As a secondary objective, this article attempts to reconcile the sometimes conflicting terminology in the literature and to connect multiple bodies of literature and sub-communities that have been working separately in this context.en
dc.description.urihttps://arxiv.org/abs/2202.03269en
dc.format.extent39 pagesen
dc.genrejournal articlesen
dc.genrepreprintsen
dc.identifierdoi:10.13016/m2jphv-tb1r
dc.identifier.urihttps://doi.org/10.48550/arXiv.2202.03269
dc.identifier.urihttp://hdl.handle.net/11603/24423
dc.language.isoenen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.en
dc.titleRadio Map Estimation: A Data-Driven Approach to Spectrum Cartographyen
dc.typeTexten

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