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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. In: Lee Pucker, Claudio Armani, Stephanie Hamill (Eds.), Proceedings of WInnComm-Europe 2014 Wireless Innovation European Conference on Wireless Communications Technologies and Software Defined Radio , 1–8, Wireless Innovation Forum, 2014.

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:

@INPROCEEDINGS{inpGrNyBjHaAuEk14a,
  title = {Distributed Spectrum Sensing Using Low Cost Hardware},
  booktitle = {Proceedings of WInnComm-Europe 2014 Wireless Innovation European Conference on Wireless Communications Technologies and Software Defined Radio },
  author = {Grönroos, Stefan and Nybom, Kristian and Björkqvist, Jerker and Hallio, Juhani and Auranen, Jani and Ekman, Reijo},
  editor = {Pucker, Lee and Armani, Claudio and Hamill, Stephanie},
  publisher = {Wireless Innovation Forum},
  pages = {1–8},
  year = {2014},
}

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

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