Interference detection in centralized cooperative spectrum sensing from sub-Nyquist samples

Anastasia Lavrenko; Anibal Sosa; Andres Navarro; Reiner S. Thoma

doi:10.1109/PIMRC.2016.7794783

Interference detection in centralized cooperative spectrum sensing from sub-Nyquist samples

Anastasia Lavrenko, Anibal Sosa, Andres Navarro, Reiner S. Thoma

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Wideband spectrum sensing plays a crucial role in a number of applications among which the cognitive radio (CR) is one of the most prominent. In this work we consider a scenario where the wide band of interest is comprised of multiple communication channels occupied by several independent transmissions. Due to the propagation conditions, some of the transmissions can cause potential interference by occupying the same channel at different locations. In order to alleviate the effect of such interference, we employ a network of distributed sensing nodes that sample the wideband signal at sub-Nyquist rate and share the acquired data with the fusion center. We show that using the structure of the correlations between the sub-Nyquist samples obtained at different sensors, we can detect the presence of potential in-channel interference. We present a concrete approach for estimation of the central frequencies of the channels in which it occurs and demonstrate its effectiveness in simulations.

Original language	English
Title of host publication	2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2016
Place of Publication	Piscataway, NJ
Publisher	IEEE
ISBN (Electronic)	978-1-5090-3254-9
ISBN (Print)	978-1-5090-3255-6
DOIs	https://doi.org/10.1109/PIMRC.2016.7794783
Publication status	Published - 21 Dec 2016
Externally published	Yes
Event	27th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2016 - Valencia Conference Centre, Valencia, Spain Duration: 4 Sept 2016 → 7 Sept 2016 Conference number: 27

Publication series

Name	IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
Publisher	IEEE
Number	27
Volume	2016
ISSN (Electronic)	2166-9589

Conference

Conference	27th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2016
Abbreviated title	PIMRC
Country/Territory	Spain
City	Valencia
Period	4/09/16 → 7/09/16

Keywords

n/a OA procedure

Access to Document

10.1109/PIMRC.2016.7794783

Cite this

Lavrenko, A., Sosa, A., Navarro, A., & Thoma, R. S. (2016). Interference detection in centralized cooperative spectrum sensing from sub-Nyquist samples. In 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2016 Article 7794783 (IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC); Vol. 2016, No. 27). IEEE. https://doi.org/10.1109/PIMRC.2016.7794783

Lavrenko, Anastasia ; Sosa, Anibal ; Navarro, Andres et al. / Interference detection in centralized cooperative spectrum sensing from sub-Nyquist samples. 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2016. Piscataway, NJ : IEEE, 2016. (IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC); 27).

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title = "Interference detection in centralized cooperative spectrum sensing from sub-Nyquist samples",

abstract = "Wideband spectrum sensing plays a crucial role in a number of applications among which the cognitive radio (CR) is one of the most prominent. In this work we consider a scenario where the wide band of interest is comprised of multiple communication channels occupied by several independent transmissions. Due to the propagation conditions, some of the transmissions can cause potential interference by occupying the same channel at different locations. In order to alleviate the effect of such interference, we employ a network of distributed sensing nodes that sample the wideband signal at sub-Nyquist rate and share the acquired data with the fusion center. We show that using the structure of the correlations between the sub-Nyquist samples obtained at different sensors, we can detect the presence of potential in-channel interference. We present a concrete approach for estimation of the central frequencies of the channels in which it occurs and demonstrate its effectiveness in simulations.",

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doi = "10.1109/PIMRC.2016.7794783",

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Lavrenko, A, Sosa, A, Navarro, A & Thoma, RS 2016, Interference detection in centralized cooperative spectrum sensing from sub-Nyquist samples. in 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2016., 7794783, IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), no. 27, vol. 2016, IEEE, Piscataway, NJ, 27th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2016, Valencia, Spain, 4/09/16. https://doi.org/10.1109/PIMRC.2016.7794783

Interference detection in centralized cooperative spectrum sensing from sub-Nyquist samples. / Lavrenko, Anastasia; Sosa, Anibal; Navarro, Andres et al.
2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2016. Piscataway, NJ: IEEE, 2016. 7794783 (IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC); Vol. 2016, No. 27).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Sosa, Anibal

AU - Navarro, Andres

AU - Thoma, Reiner S.

N1 - Conference code: 27

PY - 2016/12/21

Y1 - 2016/12/21

N2 - Wideband spectrum sensing plays a crucial role in a number of applications among which the cognitive radio (CR) is one of the most prominent. In this work we consider a scenario where the wide band of interest is comprised of multiple communication channels occupied by several independent transmissions. Due to the propagation conditions, some of the transmissions can cause potential interference by occupying the same channel at different locations. In order to alleviate the effect of such interference, we employ a network of distributed sensing nodes that sample the wideband signal at sub-Nyquist rate and share the acquired data with the fusion center. We show that using the structure of the correlations between the sub-Nyquist samples obtained at different sensors, we can detect the presence of potential in-channel interference. We present a concrete approach for estimation of the central frequencies of the channels in which it occurs and demonstrate its effectiveness in simulations.

AB - Wideband spectrum sensing plays a crucial role in a number of applications among which the cognitive radio (CR) is one of the most prominent. In this work we consider a scenario where the wide band of interest is comprised of multiple communication channels occupied by several independent transmissions. Due to the propagation conditions, some of the transmissions can cause potential interference by occupying the same channel at different locations. In order to alleviate the effect of such interference, we employ a network of distributed sensing nodes that sample the wideband signal at sub-Nyquist rate and share the acquired data with the fusion center. We show that using the structure of the correlations between the sub-Nyquist samples obtained at different sensors, we can detect the presence of potential in-channel interference. We present a concrete approach for estimation of the central frequencies of the channels in which it occurs and demonstrate its effectiveness in simulations.

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Lavrenko A, Sosa A, Navarro A, Thoma RS. Interference detection in centralized cooperative spectrum sensing from sub-Nyquist samples. In 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2016. Piscataway, NJ: IEEE. 2016. 7794783. (IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC); 27). doi: 10.1109/PIMRC.2016.7794783

Interference detection in centralized cooperative spectrum sensing from sub-Nyquist samples

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