Optimization of MISO Communication System Based on DDPG Algorithm
A multi-input-single-output (MISO) communication system optimization scheme based on deep deter-ministic policy gradient (DDPG) algorithm is proposed to address the issues, such as, increased hardware cost, increased energy consumption, signal processing complexity, etc. caused by deploying a large number of antennas in wireless communication systems. The reconfigurable Intelligent Surface (RIS) assisted multi-user MISO systems is studied and the beamforming matrix at the base station end and the phase shift at the RIS are jointly designed u-sing the DDPG algorithm to maximize the weighted sum rate of the system in the context of continuous states and ac-tions. Simulation experimental results show that the scheme has comparable and better convergence of sum-rate performance with the FP algorithm, and has a clear advantage over the scheme without RIS deployment.
万方数据
维普
