User allocation technology for multi-dimensional resource optimization of LEO satellite

ZHOU Jiaen; ZHAO Yafei; PENG Mugen

doi:10.11959/j.issn.1000-0801.2024197

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User allocation technology for multi-dimensional resource optimization of LEO satellite

Research and Development | 更新时间：2024-09-23

- User allocation technology for multi-dimensional resource optimization of LEO satellite
- Telecommunications Science Vol. 40, Issue 8, Pages: 1-10(2024)
- 作者机构：
  
  北京邮电大学网络与交换技术全国重点实验室，北京 100876
- 作者简介：
- 基金信息：
  
  The BUPT Ph.D. Students Innovation Foundation(CX2023152);BUPT Innovation and Entrepreneurship Support Program(2024-YC-T001)
- DOI：10.11959/j.issn.1000-0801.2024197
  CLC： TN929.5
- Received：03 April 2024，
  
  Revised：2024-07-31，
  
  Published：20 August 2024
- 稿件说明：
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周家恩,赵亚飞,彭木根.面向低轨卫星多维资源优化的用户分配技术[J].电信科学,2024,40(08):1-10.

ZHOU Jiaen,ZHAO Yafei,PENG Mugen.User allocation technology for multi-dimensional resource optimization of LEO satellite[J].Telecommunications Science,2024,40(08):1-10.
周家恩,赵亚飞,彭木根.面向低轨卫星多维资源优化的用户分配技术[J].电信科学,2024,40(08):1-10. DOI： 10.11959/j.issn.1000-0801.2024197.

ZHOU Jiaen,ZHAO Yafei,PENG Mugen.User allocation technology for multi-dimensional resource optimization of LEO satellite[J].Telecommunications Science,2024,40(08):1-10. DOI： 10.11959/j.issn.1000-0801.2024197.

摘要

低轨卫星通信技术能够为地面用户提供广覆盖、大容量、高可靠的服务，是未来网络的关键支撑技术之一。手机直连低轨卫星技术具有便携、低成本和用户规模大等优势，具有广阔的市场和应用前景，同时其对低轨卫星的服务资源也有了相应的需求。面向低轨卫星资源受限的场景，提出了一种综合考虑通信、感知、计算和存储的资源模型，并据此提出一种用户分配策略，仿真结果表明，该策略相比于其他3种方法，能够达到更高的资源利用率，服务更多手机用户，也为手机直连卫星技术的发展提供了理论支撑。

Abstract

Low earth orbit (LEO) satellite communication technology can provide ground users with broad coverage

high capacity

and high reliability services

making it one of the key supporting technologies for future networks. Direct-to-mobile satellite communication technology offers advantages such as portability

low cost

and large user scalability

promising extensive commercial and application prospects. Simultaneously

it generates corresponding demand for service resources from LEO satellite. In scenarios where LEO satellite resources were constrained

a service model was proposed that comprehensively considers communication

sensing

computation

and storage. Based on this model

a user allocation method was proposed. Simulation results indicate that this strategy

compared to three other methods

achieves higher resource utilization rates

serves more mobile phone users

and provides theoretical support for the development of direct-to-mobile satellite communication technology.

关键词

Keywords

references

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