6533b7d1fe1ef96bd125d73f
RESEARCH PRODUCT
Location-Free Spectrum Cartography
Baltasar Beferull-lozanoDaniel RomeroYves TeganyaLuis Miguel Lopez Ramossubject
Signal Processing (eess.SP)Computer science020206 networking & telecommunications02 engineering and technologyVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420Open spectrumNetwork planning and designBase stationCognitive radioInterference (communication)Signal ProcessingFOS: Electrical engineering electronic engineering information engineering0202 electrical engineering electronic engineering information engineeringElectrical Engineering and Systems Science - Signal ProcessingElectrical and Electronic EngineeringVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550CartographyMultipath propagationPower controldescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2019-01-01 | IEEE Transactions on Signal Processing |