Sample-Efficient Spatio-Spectral Whitespace Detection Using Least Matching Pursuit
Open access
Datum
2021Typ
- Journal Article
ETH Bibliographie
yes
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Abstract
Multi-antenna wireless communication improves spectral efficiency by reusing frequencies at different locations in space using beamforming and spatial multiplexing. In the past, research has extensively focused on dynamically reusing unused frequency bands to optimize spectrum usage, but methods that identify unused resources in space appear to be unexplored. In this paper, we propose a sample-efficient whitespace detection pipeline for multi-antenna radio-frequency (RF) transceivers that detects unused resources in both frequency and space. Our spatio-spectral whitespace detection pipeline relies on multi-antenna nonuniform wavelet sampling, which identifies unused frequencies in space at sub-Nyquist sampling rates. We demonstrate the efficacy of our approach via system simulations and show that reliable spatio-spectral whitespace detection is possible with 16× lower sampling rates than methods relying on Nyquist sampling. Mehr anzeigen
Persistenter Link
https://doi.org/10.3929/ethz-b-000511950Publikationsstatus
publishedExterne Links
Zeitschrift / Serie
IEEE AccessBand
Seiten / Artikelnummer
Verlag
IEEEThema
Coherence; compressive sensing (CS); least matching pursuit (LMP); multi-antenna communication; nonuniform wavelet sampling (NUWS); spatio-spectral sensing; whitespace detectionOrganisationseinheit
09695 - Studer, Christoph / Studer, Christoph
ETH Bibliographie
yes
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