Proportional Fairness based Resources Allocation Algorithm for LEO Satellite Networks

摘要：

　　Low Earth Orbit(LEO)satellite networks play an important role in global real-time satellite communication.However.due to the limitations of satellite bandwidth and power,it is urgent to utilize resources efficiently and prevent unnecessary resources waste.Existing researches usually focus on resources allocation for downlinks without considering Inter-Satellite Links(ISLs).This paper introduces proportional fairness by combining ground stations number with user data links life time and formulates the resources allocation problem among ISLs as a nonlinear mixed integer programing problem.Then Proportional Fairness based Resources Allocation algorithm is proposed to obtain the optimal solution using Swallow Swarm Optimization.It achieves proportional fairness among ISLs by sacrificing node throughput capacity.Moreover,the impact of counter-rotating seam and latitude regions is analyzed.

关键词： proportional fairness LEO.satellite networks resources allocation swallow swarm optimization

作者: Shuang Xu Xingwei Wang Min Huang

作者单位: College of Information Science and Engineering,Northeastern University Shenyang,China

会议类型: 国际会议

会议名称: The 14th International Symposium on Distributed Computing and Applications to Business,Engineering and Science(DCABES 2015)(第十四届分布式计算及其应用国际学术研讨会)

会议地点: 贵阳

会议语种:英文

页码: 78-81

在线出版日期: 2015-08-18（万方平台首次上网日期，不代表论文的发表时间）