Simulation of Dual-Cooperative Detection Algorithm for Idle Spectrum Sensing in Cognitive Radio

Simulation of Dual-Cooperative Detection Algorithm for Idle Spectrum Sensing in Cognitive Radio.

In wireless communication systems, spectrum sensing serves as a critical technique for detecting and utilizing idle spectrum resources. This paper introduces a dual-cooperative detection algorithm for idle spectrum sensing in cognitive radio, which achieves accurate spectrum perception through two-phase collaboration. The algorithm implementation involves two key stages: During the first cooperation phase, receiving nodes collect surrounding spectrum information using energy detection or cyclostationary feature detection methods, and transmit this data to a central node via predefined communication protocols. In the second cooperation phase, the central node processes and analyzes the received spectrum information using decision fusion algorithms such as AND/OR rules or weighted decision combining, ultimately generating accurate spectrum sensing results through threshold-based detection logic.

Through MATLAB-based simulation experiments incorporating AWGN and Rayleigh fading channel models, we validate the effectiveness of this dual-cooperative detection algorithm. The simulation results demonstrate that the algorithm achieves high detection probability (>95%) while maintaining low false alarm rates (<5%), providing crucial support for spectrum management and resource utilization in wireless communication systems. Performance metrics including receiver operating characteristics (ROC) curves and detection probability under varying SNR conditions were analyzed to verify algorithm robustness.

In conclusion, this paper presents a dual-cooperative detection algorithm for idle spectrum sensing in cognitive radio, with its effectiveness rigorously validated through comprehensive simulations. The algorithm enables accurate radio spectrum perception through optimized cooperative mechanisms, offering significant contributions to spectrum management and resource utilization technologies for modern wireless communication systems.