Multi-satellite cooperative beam hopping resource allocation based on interference perception

Jinlong HU; Jihong LIU; Yiqing ZHOU; Huan CAO; Zifan LIU; Jiawei ZHAO; Jinhong YUAN

doi:10.11959/j.issn.1000-0801.2023161

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Multi-satellite cooperative beam hopping resource allocation based on interference perception

Research and Development | 更新时间：2024-06-05

- Multi-satellite cooperative beam hopping resource allocation based on interference perception
- Telecommunications Science Vol. 39, Issue 8, Pages: 17-28(2023)
- 作者机构：
  
  1. 处理器芯片全国重点实验室，中国科学院计算技术研究所，北京 100190
  2. 中国科学院大学，北京 100049
  3. 移动计算与新型终端北京市重点实验室，北京 100190
  4. 新南威尔士大学电气工程与通信学院，新南威尔士州悉尼 NSW2052
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2023161
  CLC： TN927
- Published Online：2023-08，
  
  Published：20 August 2023
- 稿件说明：
移动端阅览
Jinlong HU, Jihong LIU, Yiqing ZHOU, et al. Multi-satellite cooperative beam hopping resource allocation based on interference perception[J]. Telecommunications science, 2023, 39(8): 17-28.
DOI：

Jinlong HU, Jihong LIU, Yiqing ZHOU, et al. Multi-satellite cooperative beam hopping resource allocation based on interference perception[J]. Telecommunications science, 2023, 39(8): 17-28. DOI： 10.11959/j.issn.1000-0801.2023161.

摘要

跳波束（beam hopping，BH）技术是解决低地球轨道（low earth orbit，LEO）卫星波束数量受限、增强系统覆盖能力的有效手段之一。现有研究通常考虑单颗 LEO 卫星的跳波束资源分配，然而实际的 LEO系统是由多个轨道上的多颗卫星协同进行覆盖，现有研究忽略了卫星间的波束干扰，容易导致系统吞吐量降低、服务质量下降。针对上述问题，本文以最大化波位服务满意度（beam service satisfaction

BSS）为目标，提出了一种基于干扰感知的LEO多星协同跳波束资源分配模型（interference aware cooperative resource allocation for LEO with beam hopping，IARA-BH），并提出了一种基于模拟退火的求解算法来得到多星协同跳波束资源分配方案（multi satellite interference coordination based on simulated annealing algorithm，MSIC-SAA）。仿真实验表明，相较于单星跳波束资源分配算法，MSIC-SAA算法的BSS提升了47.24%，平均信号干扰噪声比（signal to interference noise ratio，SINR）提升了27.40%，同时系统吞吐量提升了22.92%。

Abstract

Beam hopping (BH) technology is one of effective ways to solve limitation of beam resources and enhance the system coverage ability of low earth orbit (LEO) satellite systems.Existing research typically considers beam hopping resource allocation for a single LEO satellite

however

the actual LEO system is covered by multiple satellites in multiple orbits

and existing research ignores beam interference between satellites

which can easily lead to a decrease in system throughput and service quality.To address these issues

this paper designs an interference aware cooperative resource allocation for LEO with beam hopping (IARA-BH)

aiming to maximize the beam service satisfaction (BSS).A BH resource allocation scheme by multi satellite interference coordination based on simulated annealing algorithm (MSIC-SAA) is proposed to solve the optimization problem.Simulation experiments show that compared to beam hopping resource allocation schemes that only consider a single satellite

the BSS of the MSIC-SAA algorithm has been improved by 47.24%

the average signal to interference noise ratio (SINR) has been improved by 27.40%

and the system throughput has been improved by 22.92%.

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references

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