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Distributed Spectrum Sensing Using Low Cost Hardware

Stefan Grönroos, Kristian Nybom, Jerker Björkqvist, Juhani Hallio, Jani Auranen, Reijo Ekman, Distributed Spectrum Sensing Using Low Cost Hardware. Journal of Signal Processing Systems for Signal Image and Video Technology , 1–13, 2015.

http://dx.doi.org/10.1007/s11265-015-1033-1

Abstract:

A distributed spectrum sensing network is prototyped using off the shelf hardware consisting of Raspberry Pi mini-computers and DVB-T receivers with software defined radio capabilities. Using the prototype network, coordinated, distributed wideband spectrum sensing is performed in a geographical area. The spectrum sensing data from the nodes is collected in a database. Well established low-complexity algorithms for distributed spectrum sensing are applied, and the results are compared against a professional spectrum sensing system. We show that with this simple low-cost setup, the decisions made on the availability of spectrum using the distributed sensing data correspond well with the decisions made on the reference data.

BibTeX entry:

@ARTICLE{jGrNyBjHaAuEk15a,
  title = {Distributed Spectrum Sensing Using Low Cost Hardware},
  author = {Grönroos, Stefan and Nybom, Kristian and Björkqvist, Jerker and Hallio, Juhani and Auranen, Jani and Ekman, Reijo},
  journal = {Journal of Signal Processing Systems for Signal Image and Video Technology},
  publisher = {Springer US},
  pages = {1–13},
  year = {2015},
  keywords = {Distributed spectrum sensing; Software defined radio; Raspberry Pi; RTL-SDR},
  ISSN = {1939-8018},
}

Belongs to TUCS Research Unit(s): Embedded Systems Laboratory (ESLAB)

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