Power Allocation in Satellite Communication Systems Based on Improved Particle Swarm Optimization Algorithm
In order to solve the contradiction between the growing service demand and limited power resources in the multi-beam satellite communication system,this paper first constructs a point beam capacity model of the multi-beam satellite communication system considering the influence of inter-beam interference.When the optimization goal is to minimize the system's total squared difference between the traffic demand and the capacity allocated to each beam,it is found that this optimization goal cannot be proved to be a typical convex optimization problem,and the con-ventional solution to the convex optimization problem cannot be simply used,while the particle swarm optimization al-gorithm is suitable for solving such problems.Therefore,a satellite communication power resource allocation method based on an improved particle swarm optimization algorithm is proposed.The basic particle swarm optimization algo-rithm is adjusted,inertial weight is introduced to avoid falling into local optimal results,and the penalty function is de-signed to deal with the constraints in the optimization problem,so that the particle swarm optimization algorithm is more suitable for solving the optimization target problem.The final simulation results show that,compared with the u-niform and proportional allocation algorithms,the proposed allocation algorithm effectively reduces the total second-order service rejection and improves the total system capacity.
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维普
