In order to solve the problem of spectrum resource shortage and high-speed access in 5G network, the multi-agent system is embedded into the standard cuckoo algorithm, and the multi-agent cuckoo algorithm is proposed. Firstly, the spectrum information of network channel sharing available to users is obtained, and the cuckoo search algorithm is used to optimize under the condition of satisfying the quality of service (QoS) guarantee of users, and the optimal allocation scheme is obtained by iterating for many times. The use steps are illustrated by examples. Compared with the traditional genetic algorithm, the calculation complexity can be reduced, and it can also be extended to more users and networks. In this algorithm, each cuckoo represents an agent, and all the agents constitute a von-neumann structure. Through the neighborhood competition cooperation operator, mutation operator, self-learning operator and the evolution mechanism of cuckoo algorithm, they can continuously enhance the energy and improve the adaptability, and can quickly and accurately find the optimal solution of the problem.

为了解决5G网络中频谱资源短缺和高速接入的问题，将多智能体系统嵌入标准的布谷鸟算法中，提出了多体布谷鸟算法。首先，获取用户可用的网络信道共享频谱信息，在满足用户服务质量（QoS）保证的条件下，使用布谷鸟搜索算法进行优化，并通过迭代获得最优分配方案。多次。使用步骤通过示例说明。与传统的遗传算法相比，可以降低计算复杂度，并且可以扩展到更多的用户和网络。在该算法中，每个杜鹃都代表一个主体，并且所有主体都构成一个冯·诺依曼结构。