Research on dynamic spectrum allocation algorithm in cognitive radio networks

With the rapid development of radio communication technology, especially the popularity of mobile Internet, Internet of Things and the new generation of digital communication technology, the demand for spectrum resources has shown explosive growth. However, the traditional static spectrum allocation mechanism is difficult to guarantee the communication quality of different types of users, so that spectrum resources are scarce and the actual utilization rate is low. In this regard, this paper will study the feasibility of cognitive radio network as an intelligent spectrum management technology, and propose a dynamic spectrum allocation algorithm based on graph theory coloring model to improve spectrum utilization and system performance. Practice has proved that under the graph theory coloring model, Cuckoo Search, with its unique search mechanism and powerful global search ability, can quickly search for an approximate optimal spectrum allocation scheme in a complex radio communication environment. It not only meets the communication quality requirements between users, but also significantly improves the overall utilization efficiency of spectrum resources, providing new ideas and methods for radio communication spectrum management.