Relationship Between Secrecy Capacity and Power Allocation Factor in Cooperative Communication Channels

MATLAB simulation program investigating the relationship between secrecy capacity and power allocation factor in cooperative communication channels. This simulation explores how variations in power allocation factors affect secrecy capacity metrics in cooperative communication systems. The implementation involves creating channel models with adjustable power distribution parameters between cooperative nodes, calculating secrecy capacity using mathematical formulations that combine channel state information and signal-to-interference-plus-noise ratios. Key algorithms include iterative power optimization methods and capacity calculation functions that incorporate security constraints. The simulation enables parametric analysis by systematically adjusting power allocation ratios while monitoring corresponding changes in secrecy capacity, providing insights for optimizing system security performance. This approach helps researchers understand trade-offs between power distribution and confidentiality metrics, supporting enhanced design strategies for secure cooperative communication systems.