Research on Anti-Jamming Algorithm of Massive MIMO Communication System Based on Multi-User Game Theory

Massive MIMO(Multiple-Input Multiple-Output) technology is one of the most important physical layer technologies in 5 g and even 6G. In the process of wireless transmission, due to the complexity of the propagation environment, the signal is vulnerable to thousands of interference, resulting in the final received synthetic signal composed of standard signal and interference signal. With the development of science and technology, artificial intelligence has penetrated into signal processing and achieved good results. Multi user game theory in artificial intelligence algorithm is considered to be one of the most important theoretical achievements of Applied Mathematics in this century. The devices in the communication network interfere with each other and have a competitive relationship. To solve this problem, combined with the game theory of artificial intelligence algorithm, the equipment in the communication network is modeled as the players participating in the competition in the game theory, and the array factor of the base station transmitting antenna array is adjusted according to the channel conditions and service requirements of different equipment. In order to make the Nash equilibrium point converge, an array factor update algorithm is designed. Finally, the performance of the algorithm is verified in simulation.