基于改进粒子群算法的卫星通信系统功率分配  

Power Allocation in Satellite Communication Systems Based on Improved Particle Swarm Optimization Algorithm

作　　者：蒋建瑞 王恒[2] 谢世珺 JIANG Jian-rui;WANG Heng;XIE Shi-jun(School of Electronics&Information Engineering,Nanjing University of Information Science&Technology,Nanjing Jiangsu 210044,China;The Sixty-third Research Institute,National University of Defense Technology,Nanjing Jiangsu 210007,China)

机构地区：[1]南京信息工程大学电子与信息工程学院,南京210044 [2]国防科技大学第六十三研究所,南京210007

出　　处：《计算机仿真》2024年第11期18-23,150,共7页Computer Simulation

摘　　要：为了解决多波束卫星通信系统中不断增长的业务需求与有限功率资源之间的矛盾,先构建考虑有波束间干扰影响的多波束卫星通信系统的点波束容量模型,以最小化系统总二阶业务拒绝量为优化目标时,发现此优化目标不可证明为典型的凸优化问题,不能简单采用凸优化问题的常规解决办法,而粒子群算法则适合解决此类问题。由此提出了一种基于改进粒子群优化算法的卫星通信功率资源分配方法,对基本粒子群算法作出调整,引入惯性权重以避免其陷入局部最优结果,设计罚函数以处理优化问题中出现的限制条件,使粒子群算法更适合解决优化目标问题。最后的仿真结果表明,与均匀和比例分配算法相比,提出的分配算法有效地降低了系统总二阶业务拒绝量,并提升系统总容量。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.

关 键 词：卫星通信 多波束 粒子群算法 罚函数 功率分配 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]