Location-Free Spectrum Cartography
Autor: | Baltasar Beferull-Lozano, Daniel Romero, Yves Teganya, Luis Miguel Lopez Ramos |
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Rok vydání: | 2019 |
Předmět: |
Signal Processing (eess.SP)
Computer science 020206 networking & telecommunications 02 engineering and technology VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420 Open spectrum Network planning and design Base station Cognitive radio Interference (communication) Signal Processing FOS: Electrical engineering electronic engineering information engineering 0202 electrical engineering electronic engineering information engineering Electrical Engineering and Systems Science - Signal Processing Electrical and Electronic Engineering VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550 Cartography Multipath propagation Power control |
Zdroj: | IEEE Transactions on Signal Processing |
ISSN: | 1941-0476 1053-587X |
DOI: | 10.1109/tsp.2019.2923151 |
Popis: | Spectrum cartography constructs maps of metrics such as channel gain or received signal power across a geographic area of interest using spatially distributed sensor measurements. Applications of these maps include network planning, interference coordination, power control, localization, and cognitive radios to name a few. Since existing spectrum cartography techniques require accurate estimates of the sensor locations, their performance is drastically impaired by multipath affecting the positioning pilot signals, as occurs in indoor or dense urban scenarios. To overcome such a limitation, this paper introduces a novel paradigm for spectrum cartography, where estimation of spectral maps relies on features of these positioning signals rather than on location estimates. Specific learning algorithms are built upon this approach and offer a markedly improved estimation performance than existing approaches relying on localization, as demonstrated by simulation studies in indoor scenarios. Comment: 14 pages, 12 figures, 1 table. Submitted to IEEE Transactions on Signal Processing |
Databáze: | OpenAIRE |
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