Multi Objective Resource Optimization of Wireless Network Based on Cross Domain Virtual Network Embedding

TL;DR

This paper proposes a multi-objective virtual network embedding algorithm for wireless networks that optimizes resource allocation, delay, and acceptance rate across domains, demonstrating superior performance over existing methods.

Contribution

It introduces a novel multi-objective VNE algorithm tailored for wireless networks that considers cross-domain resource allocation, delay, and acceptance rate, improving efficiency and effectiveness.

Findings

The proposed algorithm outperforms existing VNE algorithms in simulations.

It effectively balances resource allocation, delay, and acceptance rate.

Cross-domain VNE improves wireless network resource utilization.

Abstract

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.