保证用户公平性的低成本卫星星座设计  

User-fairness guaranteed low-cost satellite constellation design

作　　者：戴翠琴[1] 戴成伟 DAI Cuiqin;DAI Chengwei(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,P.R.China)

机构地区：[1]重庆邮电大学通信与信息工程学院,重庆400065

出　　处：《重庆邮电大学学报（自然科学版）》2023年第3期434-443,共10页Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)

基　　金：国家自然科学基金项目(61601075);重庆市科委自然科学基金项目(cstc2016jcyjA0174)。

摘　　要：针对用户分布和地理环境的差异性对保证卫星星座服务下的用户公平性提出的挑战,综合考虑不同区域的用户需求、通信发展水平和自然灾害水平,提出了一种用户公平性保证的低成本卫星星座设计方案。建立LEO卫星网络模型,分析单颗卫星的覆盖性能;定义用户公平性因子,在满足用户公平性的同时,将LEO卫星星座设计问题建模为最小化星座投入成本和最大化覆盖率;在星座容量和星座盈利的约束下,采用非支配排序遗传算法(non-dominated sorting genetic algorithm,NSGA-Ⅱ)求解卫星星座设计问题。仿真结果表明,所设计的卫星星座能够以较低的卫星星座投入成本满足不同区域的用户公平性要求,同时满足目标区域的覆盖率。In view of the challenges posed by the difference of user distribution and geographical environment to ensure user fairness under the service of satellite constellation,a LEO satellite constellation design scheme is proposed to guarantee the user fairness by comprehensively considering user demand,the level of communication development,and the level of disaster risk in different areas.The LEO Satellite Network model is established and the coverage performance of a single satellite is analyzed.The user fairness factor is defined,and the optimization problems for LEO satellite constellation are formulated by minimizing the constellation investment cost and maximizing the coverage rate while satisfying user fairness.The LEO satellite constellation design problem under the constraints of constellation capacity and constellation profit is solved using a Non-dominated Sorting Genetic Algorithm(NSGA-Ⅱ).Simulation results demonstrate that the designed satellite constellation can meet the requirements of user fairness in different areas with low satellite constellation investment cost,and simultaneously satisfy the coverage rate for the target area.

关 键 词：卫星网络 卫星星座设计 用户公平性 覆盖性能 投入成本 

分 类 号：TN927.2[电子电信—通信与信息系统]