MATLAB Implementation of Cognitive Radio with Energy Spectrum Sensing Algorithm for OFDM Signals
Cognitive Radio Spectrum Sensing Method - Simulation Code for Energy Spectrum Sensing Algorithm Based on OFDM Signals
Energy Detection Method in Cognitive Radio with Performance Analysis
This program implements energy detection methodology for cognitive radio systems, featuring comparative performance evaluation under different false alarm probability scenarios with MATLAB-based threshold calibration and detection statistic computation.
Research on Energy Detection Methods for Maximizing Spectrum Access Opportunities in Cognitive Radio
Investigating Energy Detection Techniques to Optimize Spectrum Utilization in Cognitive Radio Systems
Generating Primary Users in Cognitive Radio Systems
Implementation of primary user generation for cognitive radio spectrum management
Opportunistic Spectrum Access Scheme in Cognitive Radio
Simulation-based channel sensing, transmission, and sleep time optimization in cognitive radio systems using opportunistic spectrum access schemes, featuring algorithm implementations for dynamic spectrum management.
Energy Detection MATLAB Code for Cognitive Radio
MATLAB program code for cognitive radio energy detection, implementing spectrum sensing algorithms with signal processing techniques for efficient spectrum utilization.
Implementation of Cognitive Radio Detection and Prediction Using BP Neural Network
Using BP neural networks for cognitive radio spectrum detection and prediction, achieving efficient spectrum allocation through machine learning algorithms with backpropagation weight optimization
Collaborative Spectrum Sensing Based on Energy Detection in Cognitive Radio Networks
Energy detection-based collaborative spectrum sensing in cognitive radio systems, analyzing the relationship between signal-to-noise ratio (SNR) and detection probability. The implementation compares theoretical and simulated values for both single-node and three-node configurations, demonstrating system performance through MATLAB-based simulations using energy detection algorithms and collaborative decision fusion techniques.
Game Theory in MATLAB for Cognitive Radio Networks
A game-theoretic MATLAB model for cognitive radio (CR) systems supporting dynamic spectrum access, featuring multi-hop networks with CR nodes that realistically emulate physical and administrative structures. This research investigates user communication sessions through cross-layer optimization, integrating power control with joint scheduling and routing mechanisms. The approach analyzes channel quality and spectrum substitutability while establishing utility functions for secondary users' spectrum requirements. The MATLAB implementation includes a spectrum admission pricing scheme demonstrating near-optimal performance in most scenarios through equilibrium analysis.
Performance Simulation of Cyclostationary Detection for BPSK Signals in Cognitive Radio
Performance simulation of cyclostationary detection for cognitive radio BPSK signals including signal cyclic spectrum diagrams and MATLAB implementation details