Abstract:

This paper proposes an AI-based cross-module optimization framework that integrates modulation and precoding collaborative design alongside intelligent control strategies, aiming to achieve joint optimization of the physical layer. The proposed framework breaks down traditional inter-module information barriers and supports globally optimal end-to-end performance. To validate the effectiveness of the proposed scheme, evaluations are conducted in both single-user and multi-user scenarios. Simulation results demonstrate that the scheme achieves advantages in terms of key performance metrics such as block error rate and throughput.

Key words: end-to-end AI, single-user MIMO, Multi-user MIMO, intelligent control