Dynamic allocation of UAV cluster spectrum resources based on artificial bee colony algorithm

Abstract

In the reality that limited spectrum resources are becoming increasingly tight, how to allocate spectrum to Unmanned Aerial Vehicle (UAV) clusters reasonably and efficiently, and increase attendance has become the key to improving UAV combat effectiveness. Artificial bee colony(ABC) algorithm is a kind of swarm intelligence algorithm, which has the advantages of fast convergence speed and strong global search ability. It has been widely used in multi-parameter optimization problems since it was proposed. This paper focuses on the problem of rare spectrum resources and low utilization rate in the development of UAVs, and studies the latest research results of spectrum allocation in civil field. Focus on the study of the combined optimization of the spectrum allocation model and the ABC algorithm, and successfully apply the ABC algorithm to solve the spectrum allocation problem. At the same time, the calculation parameters are studied deeply and the algorithm is improved. The improved algorithm is compared with the original algorithm to maximize the efficiency of spectrum utilization.