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.

Implementation of Multi-Carrier Modulation Using OFDM (Orthogonal Frequency Division Multiplexing)

OFDM (Orthogonal Frequency Division Multiplexing) implements multi-carrier modulation by dividing a broadband channel into multiple parallel narrowband subchannels, where each subchannel experiences flat fading. A complete OFDM channel link system is constructed using three different channel estimation methods (LS channel estimation, DFT channel estimation, and Improved-DFT channel estimation). The system performance is simulated and compared under both AWGN (Additive White Gaussian Noise) ideal channels and fading channels in terms of bit error rate analysis.