电讯技术2025，Vol.65Issue(2)：245-253,9.DOI:10.20079/j.issn.1001-893x.240423002
边缘网络中基于用户移动性预测的数字孪生部署策略
Digital Twin Deployment Strategy Based on User Mobility Prediction in Edge Networks
摘要
Abstract
In the dynamic networks of mobile edge computing,it is a great challenge for the effective deployment of digital twins(DTs)while jointly considering user mobility and service satisfaction.The authors propose a DT deployment strategy based on the prediction of user mobility in mobile edge networks.Firstly,a trajectory prediction model is constructed by utilizing Bidirectional Long Short-Term Memory Networks(Bi-LSTMs)combined with attention mechanisms to forecast the movement sequences of mobile users.Secondly,the deployment problem of DT is formulated as Integer Linear Programming(ILP)model.Finally,a digital twin deployment strategy algorithm based on user mobility prediction is proposed to solve the problem aiming at maximizing the utility gain function defined by age of information(AoI).The algorithm is designed based on the obtained mobile user trajectory data and utilizes the diminishing marginal utility of digital twin deployment to achieve the optimal digital twin deployment strategy.The simulation results demonstrate that the effectiveness of the proposed algorithm in terms of prediction accuracy and utility gain,and the algorithm demonstrates a performance improvement of no less than 10.7%compared with the benchmark algorithm.关键词
移动边缘计算/数字孪生/用户移动性预测/部署策略Key words
mobile edge computing/digital twin/user mobility prediction/deployment strategy分类
信息技术与安全科学引用本文复制引用
周冬杨,潘显兵..边缘网络中基于用户移动性预测的数字孪生部署策略[J].电讯技术,2025,65(2):245-253,9.基金项目
重庆市教委科学技术研究项目(KJZD-K202402402) （KJZD-K202402402）
