Research On Satellite Communication System Scheduling Algorithm Based On ATD

In recent years,high-throughput satellite communication systems have been gradually put into use,greatly increasing the system capacity and better meeting the increasing demand for communication bandwidth.Typical high-throughput satellites such as Zhongxing 16 and Asia Pacific 6D all use transparent transponder and multi-point beam antenna to form payloads.Because there is no hinge between the point beams,the earth stations between the different beams cannot communicate directly,and can only be transferred through the central node.The forward signal sent by the communication station is a mixed structure of multi-station,multiservice type,multi-service quality assurance requirements,and multi-modulation coding mode.ATDM(Asynchronous Time Division Multiplexing,ATDM)is a very effective reconnection mode.In the satellite communication system of forward ATDM,with the increase of communication task requirements,the constraints of time window conflict and other constraints make the resource scheduling problem more complex.The traditional resource scheduling model has low resource utilization,low throughput and insufficient timeliness.In addition,at present,emergency medical treatment and sudden disasters occur from time to time.When using the satellite communication system for emergency task support,a more effective task scheduling algorithm is needed to handle it.In view of the above problems,this paper focuses on the mathematical model modeling of ATDM satellite communication system resource scheduling and proposes different resource allocation algorithms for its two different application scenario models.For the low throughput of ATDM satellite resource scheduling model and ant colony optimization(Ant Colony Optimization,ACO)algorithm population diversity,easy into local optimal and slow convergence speed,puts forward a business generation strategy based on Tent mapping,ant factor adaptive update strategy and global pheromone update strategy combined multiple strategy to improve ant colony optimization(Multi-strategy Improves Ant Colony Optimization,MIACO)algorithm.Finally,through the travel agent problem(Traveling Salesman Problem,TSP)test and the simulation test of resource scheduling problem test,the solution accuracy and convergence speed of MIACO algorithm can be effectively improved,the superiority and stability of MIACO algorithm can be verified,and the high throughput is improved in the scheduling model of ATDM satellite communication system.In order to meet the requirements of the ATDM satellite resource scheduling model in the emergency scheduling situation,Considering the Harris Eagle optimization(Harris Hawk Optimization,HHO)algorithm performs better than the ACO algorithm in handling problems with high complexity,Proposed to use the HHO algorithm to solve the proposed model,In view of the slow convergence speed of HHO algorithm and easy to fall into the local optimal disadvantages,We propose a nonlinear escape energy update strategy based on the Tanh function,Multistrategy for improving mutation disturbance and individual elitism strategy Harris Eagle optimization(Multi-strategy Improved Harris Hawk Optimization,MIHHO)algorithm,And use the benchmark test function in IEEE Congress on Evolutionary Computation(CEC)to test the proposed algorithm to prove its excellent search performance,The convergence speed and the solution accuracy are improved.Finally,combined with the proposed model,we proves that the proposed MIHHO algorithm can effectively meet the priority emergency scheduling requirements and improve the high throughput.