Task-Based Wireless Network Resource Allocation Technology

Due to its autonomy and flexibility,unmanned aerial vehicles(UAV)have been widely used in military,disaster relief and logistics fields.However,the communication problem of drones has always been a challenge.Due to the limitation of energy and other resources,its resource allocation is an important research topic.At the same time,network virtualization,as a key technology for resource management,is attracting widespread attention in academia and industry.It enables multiple concurrent virtual networks to run on shared basic resources.This paper focuses on the problem of resource allocation in unmanned clusters and the mapping problem of virtual networks,summarizes the characteristics,advantages and disadvantages of existing resource allocation algorithms,and proposes new resource allocation algorithms.The specific research work can be summarized as follows:1)The problem of virtual resource allocation from virtual network mapping to UAV physical network is studied.As task requirements change and alternate,the old virtual network keeps leaving and the new virtual network arrives,resulting in dynamic resource allocation,which will make the physical network load unbalanced.At the same time,based on different task requirements,different virtual networks also have different priorities.In view of the above problems,this paper establishes a mathematical model and proposes a priority-based load balancing remapping algorithm in the UAV network.This algorithm considers both the priority of the virtual network and the impact of the virtual network nodes and links on the physical network load.A virtual node resource remapping algorithm that balances the load of physical resources is proposed.The simulation results show that the high-priority virtual network obtains a higher acceptance rate and improves the utilization and balance of physical network resources.2)In an unmanned cluster network where resources and functions are virtualized,there may be multiple simultaneous tasks in the network,and each task can be formulated through a set of virtualized network functions,and each virtualized network function is A set of virtualized resources provide services.In this paper,in order to meet the requirements of timeliness of tasks in the network,a mathematical model is established in combination with queuing theory,and a resource allocation method oriented to task decomposition is proposed to achieve the optimal allocation of resources.Simulation results show that the algorithm proposed in this paper effectively saves network resources under the condition of meeting task delay constraints.