Resource Allocation for Two-Cell Users Based on Evolutionary Game Theory
Application Context: This algorithm employs evolutionary game theory for resource allocation among multi-cell users, treating cell overlapping areas as populations where users engage in evolutionary games for network switching, while base stations allocate sub-channels. Key Technology: The algorithm utilizes MATLAB for simulation testing, demonstrating that evolutionary games achieve stability and improve system throughput. It provides valuable reference for cell resource allocation, offering a novel alternative to traditional resource allocation methods. Code implementation involves modeling user behavior dynamics and channel assignment protocols.