一种布谷鸟搜索的5G异构网络选择与资源分配优化方法

Cuckoo search optimization method for 5G heterogeneous network selection and resource allocation

5G网络存在异构和复杂的特点,用户数量大,需求质量高,在密集网络的情况下存在如何进行网络选择与资源分配的问题。频谱共享是解决5G网络频谱资源短缺和高速率接入问题的有效解决方法。文章提出一种布谷鸟搜索优化方法,首先获取用户可用的网络信道共享频谱信息,利用布谷鸟搜索算法在满足用户服务质量(QoS)保证的条件下进行寻优操作,多次迭代得出最佳分配方案,相比传统遗传算法可以降低计算复杂度。

The 5 G networks have the characteristics of heterogeneity and complexity, with a large number of users and high quality user demand. In the case of dense networks, there are problems of how to select access network and allocate resources. Spectrum sharing is an effective solution to the problem of spectrum resource shortage and high-rate access in 5 G networks. This paper proposes a cuckoo search optimization method, which first obtains the shared spectrum information of the network channel available to the user, and then uses the cuckoo search algorithm, obtain the optimal allocation plan through multiple iterations which satisfies the user’s quality of service(QoS)guarantee at the same time. And the proposed method can reduce the computational complexity compared with traditional algorithms.