通信学报 ›› 2023, Vol. 44 ›› Issue (8): 125-133.doi: 10.11959/j.issn.1000-436x.2023153

• 学术论文 • 上一篇    

面向用户传输差异的低轨道地球卫星资源分配策略

陈发堂, 黄淼, 金宇峰   

  1. 重庆邮电大学通信与信息工程学院,重庆 400065
  • 修回日期:2023-07-08 出版日期:2023-08-01 发布日期:2023-08-01
  • 作者简介:陈发堂(1965- ),男,重庆人,重庆邮电大学研究员、硕士生导师,主要研究方向为移动通信物理层算法仿真及软件开发
    黄淼(1998- ),男,四川达州人,重庆邮电大学硕士生,主要研究方向为低轨卫星无线通信资源分配算法
    金宇峰(1999- ),男,湖北荆州人,重庆邮电大学硕士生,主要研究方向为低轨卫星边缘计算与任务卸载
  • 基金资助:
    重庆市自然科学基金资助项目(cstc2021jcyj-msxmX0454)

Resource allocation strategy of low earth orbit satellite oriented to user transmission difference

Fatang CHEN, Miao HUANG, Yufeng JIN   

  1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • Revised:2023-07-08 Online:2023-08-01 Published:2023-08-01
  • Supported by:
    The Natural Science Foundation of Chongqing(cstc2021jcyj-msxmX0454)

摘要:

低轨道地球卫星(LEO)上行链路通信场景下,针对不同用户对于高容量传输(HCT)和高可靠性传输(HRT)需求的差异性,对2种不同需求的用户进行频谱共享,建立HRT用户需求受限下的HCT用户总和容量最大化的资源分配模型,并联合用户功率和信道资源进行优化。基于信道衰减统计特性进行功率分配,以应对信道衰减的随机性带来的不确定性挑战,在功率分配的基础上,应用匈牙利算法对用户进行两两配对,共用同一信道。为了提升 HCT 用户的公平性,将最小遍历容量的最大化纳入优化目标,并在已有算法基础上引入一个平衡矩阵进行求解。仿真结果表明,相较于其他几种算法,所提算法在相同HRT用户中断概率下,HCT用户的总和容量最高,改进后算法在提升HCT用户公平性和鲁棒性上也有显著效果。

关键词: 低轨道地球卫星, 资源分配, 频谱共享, 匈牙利算法

Abstract:

In the low earth orbit (LEO) uplink communication scenario, aiming at the different needs of different users for high capacity transmission (HCT) and high reliability transmission (HRT), the spectrum of two users with different needs was shared, a resource allocation model for maximizing the total capacity of HCT users under the constraint of HRT users was established, and the user power and channel resources were optimized.Based on the statistical characteristics of channel fading, the power allocation was carried out to deal with the uncertainty challenge caused by the randomness of channel fading.On the basis of power allocation, the Hungarian algorithm was used to pair users to share the same channel.In order to improve the fairness of HCT users, the maximization of minimum ergodic capacity was included in the optimization goal, and a balance matrix was introduced to solve the problem based on the existing algorithms.Simulation results show that the total capacity of HCT users of the proposed algorithm is higher than that of other algorithms under the same HRT user outage probability, and the improved algorithm also has a significant effect on improving the fairness and robustness of HCT users.

Key words: low earth orbit satellite, resource allocation, spectrum sharing, Hungarian algorithm

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