Frequency utilization planning method and device based on multi-objective optimization and computer equipment

Abstract

The invention relates to a frequency utilization planning method and device based on multi-objective optimization, computer equipment and a storage medium. The method comprises the following steps: introducing a multi-objective optimization theory, establishing a multi-objective frequency planning model by taking minimum interference conflicts, highest demand satisfaction and lowest adjacent channel risk as optimization objectives, and proposing a non-dominated sorting ant colony algorithm for solving a frequency planning problem. In the ant colony initialization stage, a hill climbing algorithm with a greedy strategy is used for obtaining a suboptimal solution set so as to improve the early-stage convergence speed of the ant colony; and the frequency equipment is clustered by using a community detection mechanism, so that the calculation complexity of electromagnetic interference analysis is reduced, and the algorithm process is accelerated. Meanwhile, scheduling improvement operation is performed on the obtained frequency utilization planning scheme in each iteration of the algorithm, and parameters such as pheromone volatilization coefficients are adaptively adjusted, so that the global optimization performance of the algorithm is improved. According to the invention, multiplexing of the time domain of the frequency equipment is considered, overall scheduling of dimensions such as the spatial domain, the frequency domain and the energy domain is achieved, and the effect is better.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a multi-objective optimization-based frequency utilization planning method, device, computer equipment and storage medium. Background technique [0002] With the development of modern informatization, communication, radar detection, satellite navigation, electronic countermeasures, etc. all need to obtain sufficient electromagnetic spectrum resource support. Under the condition of limited spectrum resources, how to implement real-time and accurate frequency planning has become the key to improving the performance of frequency-using equipment. [0003] The research methods of frequency programming mainly include deterministic algorithm, game theory, graph coloring, auction theory, intelligent optimization algorithm, etc. In the existing technology, the concept of graph theory is introduced to improve the exhaustive search method to improve the real-time performance of...

AI Technical Summary

Problems solved by technology

[0004] However, in the current literature on frequency planning issues, the modeling usually only has one-dimensional variables in the frequency domain, and the obtained frequency planning scheme only includes the assignment scheme of the frequency points of each frequency equipment Coordinated scheduling in multiple dimensions such as time domain, air domain, frequency domain, and energy domain

At the same time, it is difficult for the planning model to accurately describe the considerations and requirements of decision makers for the expected implementation of the frequency planning scheme, which may lead to deviations in the judgment of the pros and cons of the solution, resulting in the loss of the ideal frequency planning scheme, and the problem of poor planning effect

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