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Towards a highly flexible spectrum sensing platform for cognitive radio networks

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7 S.

peer-reviewed

Veröffentlichung
2013-03-25
Authors
Lohmiller, Peter
Elsokary, Ahmed
Valenta, Václav
Gai, Xiaolei
Trasser, Andreas
et al.
Beitrag zu einer Konferenz


Faculties
Fakultät für Ingenieurwissenschaften und Informatik
Conference
International Symposium on Signals, Systems, and Electronics (ISSSE), 2012-10-03 - 2012-10-05, Potsdam
Abstract
Multi-nodal spectrum sensing is a promising approach to robust cognitive radio networks, which provides increased adaptability to database-anchored sharing approaches. Yet its commercially viable implementation requires compact, low-cost, flexible sensing receivers. This paper describes an implementation approach relying on a fully differential 0.25 mym SiGe:C BiCMOS low-noise down-converter RFIC in the front-end, which covers 0.3 - 6 GHz. Its quadrature outputs are processed in a commercially available baseband processor that combines dual channel 14-bit, 250 MS/s analog to digital converters (ADC) with a Virtex 6 FPGA. The design and implementation status of the system will be described, as well as its validation under realistic noise and interference conditions, sensing white spaces in the UHF TV band.
Date created
2012
Original publication
Proceedings International Symposium on Signals, Systems and Electronics (ISSSE 2012), Potsdam, Germany, Oct. 3 - 5, 2012
http://dx.doi.org/10.1109/ISSSE.2012.6374345
Subject headings
[GND]: Hochfrequenzschaltung
[LCSH]: Cognitive radio networks
[Free subject headings]: Dynamic spectrum access | Reconfigurable RFIC | RF front-end | Spectrum sensing
[DDC subject group]: DDC 620 / Engineering & allied operations
License
Standard
https://oparu.uni-ulm.de/xmlui/license_v3

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DOI & citation

Please use this identifier to cite or link to this item: http://dx.doi.org/10.18725/OPARU-2467

Lohmiller, Peter et al. (2013): Towards a highly flexible spectrum sensing platform for cognitive radio networks. Open Access Repositorium der Universität Ulm und Technischen Hochschule Ulm. http://dx.doi.org/10.18725/OPARU-2467
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