Demonstration of real-time spectrum sensing for cognitive radio

  • Authors:
  • Zhe Chen;Nan Guo;Robert C. Qiu

  • Affiliations:
  • Department of Electrical and Computer Engineering, Center for Manufacturing Research, Tennessee Technological University, Cookeville, TN;Department of Electrical and Computer Engineering, Center for Manufacturing Research, Tennessee Technological University, Cookeville, TN;Department of Electrical and Computer Engineering, Center for Manufacturing Research, Tennessee Technological University, Cookeville, TN

  • Venue:
  • IEEE Communications Letters
  • Year:
  • 2010

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Abstract

The requirement for real-time processing indeed poses challenges on implementing spectrum sensing algorithms. Trade-off between the complexity and the effectiveness of spectrum sensing algorithms should be taken into consideration. In this paper, a fast Fourier transform based spectrum sensing algorithm, whose decision variable is independent of noise level, is introduced. A small form factor software defined radio development platform is employed to implement a spectrum sensing receiver with the proposed algorithm. To our best knowledge, it is the first time that real-time spectrum sensing on hardware platform with controllable primary user devices is demonstrated.