Strengthening network slicing for Industrial Internet with deep reinforcement learning  

作　　者：Yawen Tan Jiadai Wang Jiajia Liu 

机构地区：[1]National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology,School of Cybersecurity,Northwestern Polytechnical University,Xi’an,710072,China

出　　处：《Digital Communications and Networks》2024年第4期863-872,共10页数字通信与网络（英文版）

基　　金：supported by National Key R&D Program of China(2022YFB3104200);in part by National Natural Science Foundation of China(62202386);in part by Basic Research Programs of Taicang(TC2021JC31);in part by Fundamental Research Funds for the Central Universities(D5000210817);in part by Xi’an Unmanned System Security and Intelligent Communications ISTC Center,and in part by Special Funds for Central Universities Construction of World-Class Universities(Disciplines)and Special Development Guidance(0639022GH0202237 and 0639022SH0201237).

摘　　要：Industrial Internet combines the industrial system with Internet connectivity to build a new manufacturing and service system covering the entire industry chain and value chain.Its highly heterogeneous network structure and diversified application requirements call for the applying of network slicing technology.Guaranteeing robust network slicing is essential for Industrial Internet,but it faces the challenge of complex slice topologies caused by the intricate interaction relationships among Network Functions(NFs)composing the slice.Existing works have not concerned the strengthening problem of industrial network slicing regarding its complex network properties.Towards this end,we aim to study this issue by intelligently selecting a subset of most valuable NFs with the minimum cost to satisfy the strengthening requirements.State-of-the-art AlphaGo series of algorithms and the advanced graph neural network technology are combined to build the solution.Simulation results demonstrate the superior performance of our scheme compared to the benchmark schemes.

关 键 词：Industrial Internet Network slicing Deep reinforcement learning Graph neural network 

分 类 号：TP393.09[自动化与计算机技术—计算机应用技术] TP18[自动化与计算机技术—计算机科学与技术]