  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.
