Amplify-and-Forward Cooperative Communications Simulation with MATLAB Implementation
MATLAB-based simulation code for amplify-and-forward cooperative communication systems, featuring complete algorithm implementation and performance analysis
Introduction and Simulation of Cooperative Communications
Fundamental simulation in cooperative communications, including PDF documentation with MATLAB-based code examples. Available for download and experimentation. Thank you for your support!
Simulation of Amplify-and-Forward (AF) Mode in Cooperative Communications
Simulation of Amplify-and-Forward (AF) mode in cooperative communications with multiple illustrative diagrams, including performance metrics visualization and implementation insights
Relationship Between Secrecy Capacity and Power Allocation Factor in Cooperative Communication Channels
MATLAB Simulation Program for Analyzing Secrecy Capacity vs. Power Allocation Factor in Cooperative Communication Channels
Power Allocation Optimization Algorithm for AF Mode in Cooperative Communications
Power allocation optimization algorithm for AF (Amplify-and-Forward) mode in cooperative communications, designed to optimize power distribution between source and relay nodes using iterative optimization methods and channel state information.
Cooperative Communications and Cognitive Radio Simulations
Simulations of cooperative communications and cognitive radio systems in MATLAB environment with code implementation details
MATLAB Simulation Program for Different Channels under Cooperative Communication
A self-developed MATLAB simulation program analyzing various channel characteristics in cooperative communication systems, featuring implementations of channel modeling and performance evaluation algorithms
Collaborative Communication: Image Classification using PCA with Grayscale and Texture Features
MATLAB program for image classification based on Principal Component Analysis, grayscale/color features, and texture analysis using Gray-Level Co-occurrence Matrix (GLCM), complete with sample images and implementation details.
Basic Performance Analysis of DF (Decode-and-Forward) Cooperative Communications
This MATLAB program simulates the fundamental performance of cooperative communications using Decode-and-Forward (DF) protocol with an S-R-D three-node model, featuring Maximum Ratio Combining (MRC) at the receiver. Under fixed DF conditions, system performance is constrained by errors in the SR channel, preventing effective diversity gain at high SNR regimes. However, proximity between source and relay nodes may yield certain diversity advantages when the SR distance is sufficiently reduced.