Efficiency-optimized 6G:A virtual network resource orchestration strategy by enhanced particle swarm optimization  

作　　者：Sai Zou Junrui Wu Haisheng Yu Wenyong Wang Lisheng Huang Wei Ni Yan Liu 

机构地区：[1]College of Big Data and Information Engineering,Guizhou University,Guiyang,China [2]Prospective Technology Lab of the China Future Internet Engineering Center,Beijing,China [3]College of Computer Science and Engineering,University of Electronic Science and Technology,Chengdu,China [4]International Institute for Next Generation Internet,Macao University of Science and Technology,Macao,China [5]Data61 Business Unit,CSIRO,Australia

出　　处：《Digital Communications and Networks》2024年第5期1221-1233,共13页数字通信与网络(英文版)

基　　金：supported by the Social Scientific Research Foundation of China(21VSZ126).

摘　　要：The future Sixth-Generation (6G) wireless systems are expected to encounter emerging services with diverserequirements. In this paper, 6G network resource orchestration is optimized to support customized networkslicing of services, and place network functions generated by heterogeneous devices into available resources.This is a combinatorial optimization problem that is solved by developing a Particle Swarm Optimization (PSO)based scheduling strategy with enhanced inertia weight, particle variation, and nonlinear learning factor, therebybalancing the local and global solutions and improving the convergence speed to globally near-optimal solutions.Simulations show that the method improves the convergence speed and the utilization of network resourcescompared with other variants of PSO.

关 键 词：VIRTUALIZATION Network function orchestration Network resource virtualized orchestration (NRVO) Particle swarm optimization(PSO) 

分 类 号：O17[理学—数学]