Resource allocation Of 5G mmWave communication under random interference

Abstract

Abstract The swift expansion of artificial intelligence (AI) has revolutionized various sectors, driving innovation and efficiency across numerous industries. High-speed application scenarios and the fifth generation mobile communication systems (5G), the demand for communication resources is greater, and higher demand standards are put forward for future wireless communications, and the resource allocation problems of 5G communication systems also need to be further optimized. Key problems worth exploring in the study of communication technology include how to maximize the resource allocation efficiency of millimeter wave (mmWave), how to meet the developmental needs of communication technology and address user requirements, and how to minimize the system’s total energy consumption. This paper constructs a mmWave system model, studies the mmWave channel model and the multi-beam model, proposes an optimal power algorithm to improve the resource allocation efficiency, simulates the proposed algorithm by MATLAB. The simulation results show that the direct path can enhance the coverage area’s capacity.

Keywords

• Artificial intelligence
• Resource allocation
• 5G
• MmWave
• Optimal capacity