Resource Allocation Method of Coastal Wireless Communication Network Based on Machine Learning

In coastal wireless communication network communication, it is necessary to optimize the allocation design of coastal wireless communication network resources to improve the utilization of resources and the throughput performance of communication channels. In this paper, a resource allocation algorithm of coastal wireless communication network based on machine learning is proposed. The communication channel model of coastal wireless communication network is constructed and the overall design of resource allocation is carried out. The resource bandwidth adjustment factor of coastal wireless communication network communication system is defined, and a resource scheduling model of coastal wireless communication network is constructed by using the method of fractional time-frequency transformation. The spectrum correlation characteristics in coastal wireless communication network communication system are obtained. based on machine learning algorithm, the cross action between different signal components from multi-component signals in coastal wireless communication network resources is carried out, and the channel equilibrium configuration of coastal wireless communication network is carried out to improve the resource allocation performance in coastal wireless communication network communication system. The simulation results show that the algorithm can effectively improve the resource allocation efficiency of coastal wireless communication network, improve the network equilibrium performance and resource utilization obviously, and the coastal wireless communication network resource allocation balance is good, save the communication overhead of the network system, and thus improve the communication performance of coastal wireless communication network.