The rapid development of virtual network architecture makes it possible for wireless network to be widely used. With the popularity of artificial intelligence (AI) industry in daily life, efficient resource allocation of wireless network has become a problem. Especially when network users request wireless network resources from different management domains, they still face many practical problems. From the perspective of virtual network embedding (VNE), this paper designs and implements a multi-objective optimization VNE algorithm for wireless network resource allocation. Resource allocation in virtual network is essentially a problem of allocating underlying resources for virtual network requests (VNRs). According to the proposed objective formula, we consider the optimization mapping cost, network delay and VNR acceptance rate. VNE is completed by node mapping and link mapping. In the experiment and simulation stage, it is compared with other VNE algorithms, the cross domain VNE algorithm proposed in this paper is optimal in the above three indicators. This shows the effectiveness of the algorithm in wireless network resource allocation.
翻译:虚拟网络结构的迅速发展使得无线网络能够被广泛使用。随着人工智能行业在日常生活中的普及程度,无线网络的有效资源分配已成为一个问题。特别是当网络用户要求不同管理领域的无线网络资源时,他们仍面临许多实际问题。从虚拟网络嵌入(VNE)的角度来看,本文设计和实施无线网络资源分配的多目标优化VNE算法。虚拟网络资源分配基本上是为虚拟网络请求分配基本资源的问题。根据拟议的客观公式,我们认为优化绘图成本、网络延迟和VNR接受率。VNE是通过节点绘图和链接绘图完成的。在试验和模拟阶段,与其他VNE算法相比,本文提出的跨域VNE算法在上述三个指标中是最佳的。这显示了无线网络资源分配算法的有效性。