Hybrid Beamforming Optimization for NOMA in 6G MIMO Systems

Hybrid Beamforming Optimization for NOMA in 6G MIMO Systems with 100 Users

The program implements a hybrid beamforming optimization technique for Non-Orthogonal Multiple Access (NOMA) in a 6G MIMO communication system, targeting 100 users. The goal is to optimize both analog and digital beamforming matrices to maximize the Signal-to-Noise Ratio (SNR) for all users simultaneously, considering power allocation based on channel conditions. Using Particle Swarm Optimization (PSO), the program adjusts the beamforming weights to improve system performance, ensuring efficient multiplexing of users in the same frequency resources. The solution accounts for the interference between users, enhancing the overall capacity and data throughput in a large-scale NOMA system. The program displays the optimized beamforming matrices and the resulting SNR, offering valuable insights into the potential of hybrid beamforming for 6G wireless networks.