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Eigenbased Multi-Antenna Spectrum Sensing: Experimental Validation on a Software-Defined Radio Testbed.

Daniel Gaetano Riviello1,2, Giusi Alfano3

  • 1Department of Electronics and Telecommunications (DET), Politecnico di Torino, 10129 Turin, Italy.

Sensors (Basel, Switzerland)
|March 14, 2026
PubMed
Summary
This summary is machine-generated.

Roy

Keywords:
6G-CRNGLRTRLRTSpectrum SensingURSPsoftware-defined radio

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Area of Science:

  • Wireless Communication
  • Signal Processing

Background:

  • Spectrum Sensing (SS) is vital for 6G Cognitive Radio Networks (CRNs).
  • Unlicensed users need dynamic spectrum access without interfering with licensed users.

Purpose of the Study:

  • Investigate multiple-antenna SS techniques.
  • Analyze performance of RLRT, GLRT, ERD, and ED detection schemes.
  • Evaluate detectors with varying false-alarm probabilities and SNRs using four sensors.

Main Methods:

  • Developed a software-defined radio (SDR) testbed with USRPs.
  • Conducted experiments for primary-user signal transmission and secondary-user data acquisition.
  • Compared experimental results with simulation outcomes using ROC and performance curves.

Main Results:

  • RLRT demonstrated superior detection capability compared to GLRT, ERD, and ED.
  • Computed the explicit form of GLRT false-alarm probability for a four-antenna receiver.
  • Experimental results validated theoretical analysis and SDR implementations.

Conclusions:

  • RLRT is highly effective for multiple-antenna SS in CRNs.
  • SDR testbeds are crucial for validating SS techniques in realistic conditions.
  • The study provides valuable insights for future 6G network design.