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作 者:冯旭[1] 秦鹏 武雪 FENG Xu;QIN Peng;WU Xue(China Academy of Electronic and Information Technology,Beijing 100041,China;North China Electric Power University,Beijing 102206,China)
机构地区:[1]中国电子科学研究院,北京100041 [2]华北电力大学,北京102206
出 处:《中国电子科学研究院学报》2024年第5期455-460,共6页Journal of China Academy of Electronics and Information Technology
摘 要:随着海量移动和物联终端用户及其应用的爆发式涌现,迅速增加的网络流量对基于现有互联网架构设计的网络带来了严峻挑战。特别是对于空天网络,由于资源稀缺、时空分布不均,资源部署与需求不匹配,网络性能亟需优化提升。为解决以上问题,本文构建了基于赛博孪生的天空地智能网络体系架构。该架构通过软件定义网络和资源虚拟化将物理资源抽象为虚拟资源,并采用边缘云技术将赛博孪生内生于网络边缘侧,使得网络更加灵活、具有更强的扩展性、更高的安全性。同时,本文利用匹配理论将资源分配问题转化为多参数、多玩家的匹配博弈问题,通过构建匹配模型并求解效用函数,提出了高效稳定的三边匹配算法,实现了资源分配的整体性能最优。仿真结果表明,本文方法可有效提升网络性能,实现资源的高效分配。With the explosive emergence of massive mobile as well as IoT users and their applications,the rapidly increasing network traffic has brought severe challenges to the network designed based on existing Internet architecture.Specifically,for space-air based networks,the resources are scarce and unevenly distributed in time and space,and the deployment of resources does not match the user demand.Therefore,the network performance needs to be optimized and improved urgently.In order to solve the above issues,this paper constructs a space-air-ground intelligent network architecture based on cybertwin,which abstracts physical resources into virtual resources via software-defined network and resource virtualization technology,and adopts edge cloud technology to endogenous cyber twins on the edge of the network,making the network more flexible,more scalable and more secure.In the meantime,this paper utilizes the matching theory to transform the resource allocation problem into a multi-parameter and multiplayer matching game.By constructing a matching model and solving the utility function,we put forward an efficient and stable matching algorithm to realize the overall optimization of resource allocation.The simulation results showcase that our approach can effectively improve the network performance and realize the efficient resource allocation.
分 类 号:TN929.5[电子电信—通信与信息系统]
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