Sample-Efficient Spatio-Spectral Whitespace Detection Using Least Matching Pursuit
Open access
Date
2021Type
- Journal Article
ETH Bibliography
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. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000511950Publication status
publishedExternal links
Journal / series
IEEE AccessVolume
Pages / Article No.
Publisher
IEEESubject
Coherence; compressive sensing (CS); least matching pursuit (LMP); multi-antenna communication; nonuniform wavelet sampling (NUWS); spatio-spectral sensing; whitespace detectionOrganisational unit
09695 - Studer, Christoph / Studer, Christoph
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ETH Bibliography
yes
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