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面向业务优先级的宽带卫星ATDM前向链路资源调度算法
引用本文:周聚明,张治中,卞雨靖,冯姣,王杭先.面向业务优先级的宽带卫星ATDM前向链路资源调度算法[J].电子测量技术,2023,46(11):151-158.
作者姓名:周聚明  张治中  卞雨靖  冯姣  王杭先
作者单位:南京信息工程大学电子信息工程学院
基金项目:国家自然科学基金(61501244)、国家自然科学基金(61501245)、江苏省自然科学基金(BK20150932)项目资助
摘    要:研究了宽带卫星通信系统中异步时分复用(ATDM)前向链路资源受限条件下的资源调度问题。以优先传输实时业务、兼顾用户优先级以及系统吞吐量为优化目标,以调制编码模式、复帧数量和优先级等为约束,建立了资源调度目标函数。提出了以初始解集构造、增强全局搜索为核心的改进蚁群优化算法(ACO),求解该资源调度问题,避免了传统的蚁群优化算法存在初始阶段信息素匮乏导致的搜索速度过慢、局部搜索能力较弱以及易陷入局部最优等缺点,提高了算法在实时性、高效性需求较强的卫星调度过程中的应用。仿真实验表明,所提算法可以准确求得最优解,准确率高达99.8%,其收敛速度较传统算法提高了55.6%,与传统算法相比,所提算法已调度业务的目标函数f、综合权重y、系统吞吐量分别提高了8.4%、6.6%、12.1%,在资源调度方面具有良好的准确性、敛散性和优化性能,且与同类型优化算法相比具有更高的调度效率,适用于ATDM卫星通信系统资源调度。

关 键 词:宽带卫星通信  ATDM  资源调度  业务优先级  蚁群算法

Service priority-oriented forward link resource scheduling algorithm for broadband satellite ATDM
Zhou Juming,Zhang Zhizhong,Bian Yujing,Feng Jiao,Wang Hangxian.Service priority-oriented forward link resource scheduling algorithm for broadband satellite ATDM[J].Electronic Measurement Technology,2023,46(11):151-158.
Authors:Zhou Juming  Zhang Zhizhong  Bian Yujing  Feng Jiao  Wang Hangxian
Abstract:The resource scheduling problem under the condition of limited ATDM forward link resources in broadband satellite communication system is studied. Taking the transmission of real-time services preferentially, taking into account the user priority and system throughput as the optimization goal, and the modulation and coding mode, the number of multiframes and the priority as constraints, the resource scheduling objective function is established. An improved ant colony optimization algorithm with the initial solution set construction and enhanced global search as the core is proposed to solve the resource scheduling problem and avoid the slow search speed and local search ability of the traditional ant colony optimization algorithm caused by the lack of pheromone in the initial stage. It is weak and easy to fall into local optimum, which improves the application of the algorithm in the satellite scheduling process with strong real-time and high-efficiency requirements. Simulation results show that the proposed algorithm can accurately obtain the optimal solution, with the accuracy of 99.8%, and its convergence speed is 55.6% higher than that of the traditional algorithm. Compared with the traditional algorithm, the objective function F, comprehensive weight Y, and system throughput of the scheduled service of the proposed algorithm are increased by 8.4%, 6.6%, and 12.1% respectively. It has good accuracy, convergence and optimization performance in resource scheduling, and it is optimized with the same type.
Keywords:
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