Spectrum Sensing Station Prototype and probabilistic model
Author ORCID Identifier
http://orcid.org/0000-0001-8011-3141
Standing
Graduate (PhD)
Type of Proposal
Visual Presentation (Poster, Installation, Demonstration)
Faculty
Faculty of Engineering
Proposal
Smart spectrum sharing initiatives are a viable option to solve the spectrum scarcity experienced nowadays. The possibility that secondary users may identify, access, and use idle channels avoiding harmful interferences to primary users is an attractive option to alleviate this problem. In this line, it is necessary to identify spectrum bands and knows in real time if those frequencies are used or not by incumbents. A spectrum sensing station prototype composed by multi device hardware is proposed, which is capable to sense the UHF TV frequency bands from 500 MHz to 698 MHz (Channels 19 to 51) and identify the characteristic features of the primary users in indoor and outdoor environments. Combining a high accurate spectrum sensing device, an open source RF Explorer and an RTL SDR receptor we collect characteristic information of the TV spectrum and know its usability. Information collected is analyzed applying a probabilistic model proposed as well, to identify punctual parameters with high accuracy. Results obtained shows the accuracy of the proposed portable low cost, open hardware/software prototype to find TV white spaces in the city of Windsor.
Location
CEI building
Grand Challenges
Sustainable Industry
Special Considerations
I plan to present the prototype, it fixed and mobile versions and the novel probabilistic model developed for this purpose.
Spectrum Sensing Station Prototype and probabilistic model
CEI building
Smart spectrum sharing initiatives are a viable option to solve the spectrum scarcity experienced nowadays. The possibility that secondary users may identify, access, and use idle channels avoiding harmful interferences to primary users is an attractive option to alleviate this problem. In this line, it is necessary to identify spectrum bands and knows in real time if those frequencies are used or not by incumbents. A spectrum sensing station prototype composed by multi device hardware is proposed, which is capable to sense the UHF TV frequency bands from 500 MHz to 698 MHz (Channels 19 to 51) and identify the characteristic features of the primary users in indoor and outdoor environments. Combining a high accurate spectrum sensing device, an open source RF Explorer and an RTL SDR receptor we collect characteristic information of the TV spectrum and know its usability. Information collected is analyzed applying a probabilistic model proposed as well, to identify punctual parameters with high accuracy. Results obtained shows the accuracy of the proposed portable low cost, open hardware/software prototype to find TV white spaces in the city of Windsor.