In order to improve the overall efficiency of wireless communication system resource management, enhance system coverage, and solve the dynamic interference between user equipment in terrestrial communication, a 5G massive MIMO communication system efficiency evaluation method based on particle swarm algorithm is proposed. First, a beamforming algorithm and power allocation algorithm based on game theory are proposed to maximize the signal-to-interference-to-noise ratio of users and minimize the interference between users. Secondly, the particle swarm optimization algorithm is used to obtain the Nash equilibrium point, which increases the global information volume of the system and suppresses the interference between multiple users in the communication platform. Finally, it compares and analyzes with the other three methods through simulation calculation. Experimental results show that the proposed method has better array gain, can effectively reduce interference between users, increase coverage, and has good accuracy in different interference directions, can quickly converge to a stable value, and has good convergence sex.