Precise Control of Antenna Array Beamforming Power Distribution via Reinforcement Learning-Guided Topology Optimization

This paper presents a novel approach to control beamforming amplitudes in antenna arrays by integrating reinforcement learning (RL) and topology optimization in a optical coupler design. The proposed method utilizes RL to determine the optimal power allocation ratios among each antennas. These ratios are then used to guide the topology optimization of an optical coupler design, which redistributes the light source. The output light is then detected and fed to the corresponding antennas, enabling precise beamforming power control. Simulation results demonstrate that the output power ratio can be accurately controlled within an average of 0.1% margin of error.