Robust Scheduling Method of TT＆C Resource in Satellite Network

Xiang JI; Runzi LIU; Chenhong YAO; Jianhao CHEN; Tao MU

doi:10.11959/j.issn.2096-8930.2023003

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Robust Scheduling Method of TT＆C Resource in Satellite Network

Special Issue: Key Technologies for Networking and TT＆C in Large Scale Constellations | 更新时间：2024-06-03

- Robust Scheduling Method of TT＆C Resource in Satellite Network
- Space-Integrated-Ground Information Networks Vol. 4, Issue 1, Pages: 23-30(2023)
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- DOI：10.11959/j.issn.2096-8930.2023003
  CLC： TP393
- Published Online：2023-03，
  
  Published：20 March 2023
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Xiang JI, Runzi LIU, Chenhong YAO, et al. Robust Scheduling Method of TT＆C Resource in Satellite Network[J]. Space-integrated-ground information networks, 2023, 4(1): 23-30.
DOI：

Xiang JI, Runzi LIU, Chenhong YAO, et al. Robust Scheduling Method of TT＆C Resource in Satellite Network[J]. Space-integrated-ground information networks, 2023, 4(1): 23-30. DOI： 10.11959/j.issn.2096-8930.2023003.

摘要

卫星网络规模的持续增长为测控资源的有效调度带来了巨大挑战。受到天气等因素的影响，星地链路性能具有较强的不确定性。为了兼顾资源利用率与任务可靠性，提出一种鲁棒的测控资源调度方法。该方法可基于预测得到的星地链路信道状态分布与规划周期内的任务分布情况为测控任务安排传输窗口的开始时间与持续时长，并通过反向迭代的方式对资源分配方案进行优化从而最大化任务期望收益值。实验结果表明，与传统的非鲁棒调度方法相比，所提调度方法在不同信道分布下都能取得良好的任务收益，实现资源利用率与任务可靠性的有效提高。

Abstract

The continuous growth of satellite network scale brings great challenges to the eff ective scheduling of TT＆amp;C resources.Aff ected by weather and other factors

the performance of the satellite-ground link is of high uncertainty.In order to took into both resource utilization and task reliability

a robust scheduling method of TT＆amp;C resources was proposed.This method could arranged the start time and duration of the transmission window for TT＆amp;C tasks by the predicted the channel state distribution of satelliteground link and the task distribution in the planning period

and optimized the resource allocation scheme by backward iteration to maximized the expected profit of the tasks.The experimental results showed that compared with the traditional non-robust scheduling method

the scheduling method proposed could obtain more task profi t under diff erent channel distributions and achieve the improvement of both resource utilization and task reliability.

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references

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