Joint beam forming method based on end-to-end learning in multi-RIS auxiliary communication system

The invention provides a joint beam forming method based on end-to-end learning in a multi-RIS auxiliary communication system, relates to the technical field of information and communication, aims to improve the bit error rate performance of the communication system, and provides the joint beam forming method based on end-to-end learning in which single reflection and double reflection links are actually considered. The problem of minimizing the bit error rate is formulated by jointly designing active and passive beam forming. In order to solve the generated non-convex problem, a new method is introduced, and the proposed multi-RIS auxiliary communication system is regarded as an end-to-end optimization task. In particular, the modulation, precoding, passive beamforming, combining and demodulation processes are simultaneously optimized to avoid local optimum. A simulation result shows that compared with a traditional alternating optimization algorithm, the system based on end-to-end learning realizes competit