Journal of Engineering Research

The rapid development of artificial intelligence technology has brought unprecedented opportunities for communication network optimization and intelligent scheduling. This research focuses on using advanced artificial intelligence algorithms to propose a comprehensive solution to the problems such as uneven resource allocation and slow response speed existing in the current communication network. By constructing a simulation environment, the effects of different strategies on network performance improvement are evaluated, aiming to achieve efficient, stable and flexible communication network management. The experimental results show that the proposed AI-based method can not only significantly improve the utilization rate of network resources, but also enhance the system's adaptive ability and fault recovery ability, thus ensuring the quality and reliability of communication services.

Artificial intelligence; Communication network optimization; Intelligent scheduling; Resource allocation