Cybertwin-Based Space-Air-Ground Intelligent Network Architecture and Resource Allocation
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 ex-isting Internet architecture.Specifically,for space-air based networks,the resources are scarce and une-venly 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 a-bove 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 virtual-ization technology,and adopts edge cloud technology to endogenous cyber twins on the edge of the net-work,making the network more flexible,more scalable and more secure.In the meantime,this paper u-tilizes the matching theory to transform the resource allocation problem into a multi-parameter and multi-player 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.
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