High-Generalization Real-Time Beamforming Design for Dynamic Wireless Environments in Cell-Free Systems

In this paper, we consider real-time beamforming design for dynamic wireless environments with different channel state information (CSI) distributions in cell-free systems. Specifically, a sum-rate maximization optimization problem for different CSI distributions is built to model the beamforming design of dynamic wireless environments in cell-free systems. To efficiently solve the optimization problem, we propose a high-generalization network (HGNet). By preserving invariant features and discarding sensitive features for different CSI distributions, HGNet effectively improves the generalization performance of beamforming design for dynamic wireless environments in cell-free systems. Numerical results demonstrate that HGNet achieves a higher sum rate with a lower reflection time for different CSI distributions, thus realizing real-time beamforming design for dynamic wireless environments in cell-free systems.