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基于系统容量最大化的多星跳波束资源分配
Resource Allocation of Multi-Satellite Beam Hopping Technology Based on System Capacity Maximization
- 天地一体化信息网络 2022年3卷第4期 页码：12-21
- 作者机构：
- 作者简介：
[ "舒晴（1997-），女，北京理工大学硕士生，主要研究方向为低轨卫星通信" ]
[ "张校宁（1997-），男，北京理工大学硕士生，主要研究方向为低轨卫星通信" ]
[ "费泽松（1977-），男，博士，北京理工大学信息与电子学院教授、博士生导师，主要研究方向为信道编码、5G/6G移动通信关键技术、雷达通信一体化、低轨卫星接入与组网、MIMO等" ]
- 基金信息：国家重点研发计划资助项目;National Key Research and Development Program of China(2020YFB1806000)
DOI：10.11959/j.issn.2096-8930.2022039
中图分类号： TP927-
网络出版日期：2022-12，
纸质出版日期：2022-12-20
- 稿件说明：
移动端阅览
舒晴, 张校宁, 费泽松. 基于系统容量最大化的多星跳波束资源分配[J]. 天地一体化信息网络, 2022,3(4):12-21.
Qing SHU, Xiaoning ZHANG, Zesong FEI. Resource Allocation of Multi-Satellite Beam Hopping Technology Based on System Capacity Maximization[J]. Space-integrated-ground information networks, 2022, 3(4): 12-21.
舒晴, 张校宁, 费泽松. 基于系统容量最大化的多星跳波束资源分配[J]. 天地一体化信息网络, 2022,3(4):12-21. DOI： 10.11959/j.issn.2096-8930.2022039.
Qing SHU, Xiaoning ZHANG, Zesong FEI. Resource Allocation of Multi-Satellite Beam Hopping Technology Based on System Capacity Maximization[J]. Space-integrated-ground information networks, 2022, 3(4): 12-21. DOI： 10.11959/j.issn.2096-8930.2022039.
摘要
不同于中高轨卫星，低轨卫星具有路径损耗小、传播时延低、部署灵活性大等特点，在实时业务服务、全球物联网、应急通信等领域应用广泛。针对低轨卫星通信系统中地面用户业务需求分布差异大、资源利用率低的问题，提出一种基于凸优化的多星跳波束资源分配算法以实现系统容量最大化。面向低轨卫星中的多星跳波束场景，利用跳波束技术可以根据用户需求差异灵活分配系统资源的优势，考虑星间干扰设计基于负载均衡的多星区域划分与星间服务优先级机制，并提出一种基于凸优化的多星时间与功率资源分配算法。仿真结果表明，与以往传统方法相比，所提方案能够在不造成资源浪费的前提下有效降低同频干扰、实现按需分配系统容量。
Abstract
Unlike medium and high earth orbit satellites
LEO satellites have the characteristics of small path loss
low propagation delay and high deployment fl exibility.LEO satellites are widely used in real time services
global internet of things
emergency communication and other fi elds.In order to solved the problems of large diff erences in service demand distribution of terrestrial users and low resource utilization in LEO satellite communication systems
a resource allocation algorithm of LEO multi-satellite beam hopping technology based on convex optimization was proposed
which aimed to maximized the system capacity.For multisatellite beam hopping scenarios in LEO satellite communication system
the beam-hopping technology could fl exibly allocated system resources accorded to user needs.Considered the factor of co-channel interference
the service region division scheme based on load balancing and the inter-satellite resource allocation priority scheme was proposed.In order to improved system capacity and resource utilization
it jointly designed a time and power resource allocation algorithm based on convex optimization.The simulation results showed that the proposed scheme could eff ectively reduced co-channel interference and realized the ondemand allocation of system capacity without causing waste of resources.
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references
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