Dynamic Spectrum Allocation Based on Interference Graph Model in Cognitive Radio

This program implements analytical code based on a fixed interference graph model for dynamic spectrum allocation in cognitive radio systems. It enables researchers to analyze spectrum allocation schemes in cognitive radio environments, facilitating improved spectrum utilization and interference management. The core implementation employs graph coloring algorithms where nodes represent cognitive users and edges indicate interference constraints between users. The dynamic spectrum allocation technique based on interference graph model represents an advanced approach that allocates spectrum resources according to real-time interference conditions and user requirements, thereby enhancing system performance and efficiency. Through this program, researchers can effectively study and optimize spectrum allocation challenges in cognitive radio systems, with key functions including interference graph construction, constraint validation, and optimal channel assignment algorithms that minimize interference while maximizing spectrum efficiency.