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Distributed Spectrum Sensing Using Low Cost Hardware

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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.

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Authors and Affiliations

  1. Åbo Akademi University, Joukahaisenkatu 3–5A, 20520, Turku, Finland

    Stefan Grönroos, Kristian Nybom & Jerker Björkqvist

  2. Turku Centre for Computer Science TUCS, Turku, Finland

    Stefan Grönroos

  3. Turku University of Applied Sciences, Joukahaisenkatu 3, 20520, Turku, Finland

    Juhani Hallio, Jani Auranen & Reijo Ekman

Authors
  1. Stefan Grönroos
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  2. Kristian Nybom
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  3. Jerker Björkqvist
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  4. Juhani Hallio
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  5. Jani Auranen
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  6. Reijo Ekman
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Correspondence to Stefan Grönroos.

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Grönroos, S., Nybom, K., Björkqvist, J. et al. Distributed Spectrum Sensing Using Low Cost Hardware. J Sign Process Syst 83, 5–17 (2016). https://doi.org/10.1007/s11265-015-1033-1

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  • DOI: https://doi.org/10.1007/s11265-015-1033-1

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