Distributed Intelligent Scheduling Algorithm for Wireless Communication Network Link Resources Based on Data Analysis

The construction of wireless network is the mainstream direction of future communication development, and link optimization provides a basis for information exchange between the next generation of intelligent mobile terminals and base stations. This paper studies the link scheduling problem based on data analysis. First, after deriving the traditional optimal power allocation strategy and improving the genetic algorithm to obtain a new model, this paper proposes an optimization scheme calculation that is suitable for resource sharing among nodes, and can also consider the impact of time utility and other factors on the global availability, network topology and quality of service to minimize the overhead, and applies it to the wireless communication network for example verification. The experimental results show that the distributed intelligent scheduling algorithm for wireless communication network link resources based on data analysis performs very well in terms of running time and system processing efficiency, which can reach more than 90% efficiency.