## 3 Design of a Digital Satellite-Borne Base Station for Quick Functional Reconfiguration
From the model and architecture of the digital satellite-borne base station system resource virtualization, it can be seen that the resource virtualization technology is essentially a resource control technology that provides more flexible resource organization and management by allowing the software/hardware resources of the digital satellite-borne base station system to be managed and controlled in different levels and ways, shielding the form of physical facilities for upper-layer applications, decoupling the binding between different physical devices, and providing more flexible resource organization and management methods. The structure of digital satellite-borne base station systems for multi-star multi-protocol regime information transmission networks is made more flexible by the provision of infrastructure and processing capabilities in the form of services to the upper layer of management entities. In order to realize the fast deployment of a digital satellite-borne base station system network, ensure real-time network migration and reduce the real-time computational overhead of network migration, this paper proposes a fast adaptive network function migration algorithm, based on multi-dimensional environment awareness, that performs network function migration and achieves network load balancing through algorithms for reasonable selection of VNFs and the destination nodes to be migrated. A Fast Adaptive Migration Technique Based on Multidimensional Environment Awareness for Virtual Network Functionalities  
The digital satellite-borne base station architecture deploys network functions that are on the original dedicated device on top of the common device on the satellite through virtualization technology and cloud computing to improve the flexibility of satellite-borne network services. In the satellite environment, the rapid movement of the satellite nodes leads to rapid network changes, which presents the need for dynamic migration of different satellite nodes' network functions on demand and in time to ensure the overall performance of the whole network. In this section, we propose a fast adaptive migration algorithm for network functions based on multidimensional environment awareness, and incorporate migration precomputation in collaboration with real-time computation to reduce the real-time computational overhead of network migration. The scenario studied in this section is to achieve fast network load balancing through reasonable selection of VNFs and destination nodes to be migrated, reduce the number of VNF migrations and total migration overhead in the system, and improve system stability under the highly dynamic changes in network topology in the satellite environment. To improve migration efficiency, migration precomputation is introduced. In VNF selection, a reasonable VNF to be migrated is selected by the RAIL resource-aware algorithm; in destination node selection, a multi-objective decision is made by the TOPSIS multi-objective decision algorithm to reduce the additional delay brought by migration and the impact from migration for the destination node; through the algorithm for reasonable VNF selection and destination node selection, network function migration is carried out to achieve network load balancing.