Sai Zou , Junrui Wu , Haisheng Yu , Wenyong Wang , Lisheng Huang , Wei Ni , Yan Liu
{"title":"Efficiency-optimized 6G: A virtual network resource orchestration strategy by enhanced particle swarm optimization","authors":"Sai Zou , Junrui Wu , Haisheng Yu , Wenyong Wang , Lisheng Huang , Wei Ni , Yan Liu","doi":"10.1016/j.dcan.2023.06.008","DOIUrl":null,"url":null,"abstract":"<div><div>The future Sixth-Generation (6G) wireless systems are expected to encounter emerging services with diverse requirements. In this paper, 6G network resource orchestration is optimized to support customized network slicing 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, thereby balancing 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 resources compared with other variants of PSO.</div></div>","PeriodicalId":48631,"journal":{"name":"Digital Communications and Networks","volume":"10 5","pages":"Pages 1221-1233"},"PeriodicalIF":7.5000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digital Communications and Networks","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352864823001141","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
The future Sixth-Generation (6G) wireless systems are expected to encounter emerging services with diverse requirements. In this paper, 6G network resource orchestration is optimized to support customized network slicing 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, thereby balancing 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 resources compared with other variants of PSO.
期刊介绍：
Digital Communications and Networks is a prestigious journal that emphasizes on communication systems and networks. We publish only top-notch original articles and authoritative reviews, which undergo rigorous peer-review. We are proud to announce that all our articles are fully Open Access and can be accessed on ScienceDirect. Our journal is recognized and indexed by eminent databases such as the Science Citation Index Expanded (SCIE) and Scopus.
In addition to regular articles, we may also consider exceptional conference papers that have been significantly expanded. Furthermore, we periodically release special issues that focus on specific aspects of the field.
In conclusion, Digital Communications and Networks is a leading journal that guarantees exceptional quality and accessibility for researchers and scholars in the field of communication systems and networks.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
