基于能量效率的星地NOMA网络功率分配算法

李信; 李勇军; 赵尚弘

doi:10.12263/DZXB.20220259

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基于能量效率的星地NOMA网络功率分配算法

学术论文 | 更新时间：2025-12-08

- 基于能量效率的星地NOMA网络功率分配算法
- Power Allocation in Satellite-Terrestrial NOMA Network Based on Energy Efficiency
- 电子学报 2023年51卷第5期页码：1310-1318
- 作者机构：
  
  空军工程大学信息与导航学院，陕西西安 710077
- 作者简介：
  
  [ "李信　男，1997年生于河南南阳.现为空军工程大学信息与导航学院博士研究生．主要研究方向为卫星光通信、星地资源分配技术．E-mail: 1300358390@qq.com" ]
  [ "李勇军　男，1979年生于陕西西安.现为空军工程大学信息与导航学院教授、博士生导师.主要研究方向为卫星光通信与网络、空间微波光子技术.E-mail: tz_228@163.com" ]
  [ "赵尚弘　男，1964年生于甘肃兰州.现为空军工程大学信息与导航学院教授、博士生导师.主要研究方向为激光原理技术卫星光通信与网络、空间微波光子技术．E-mail: zhaoshangh@aliyun.com" ]
- 基金信息：
  
  国家自然科学基金(91638101);陕西省自然科学基金(2018JM6069)
- DOI：10.12263/DZXB.20220259
  中图分类号： TN929.5
- 收稿：2022-03-12，
  
  修回：2022-06-10，
  
  纸质出版：2023-05-25
- 稿件说明：
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李信,李勇军,赵尚弘.基于能量效率的星地NOMA网络功率分配算法[J].电子学报,2023,51(05):1310-1318.

LI Xin,LI Yong-jun,ZHAO Shang-hong.Power Allocation in Satellite-Terrestrial NOMA Network Based on Energy Efficiency[J].ACTA ELECTRONICA SINICA,2023,51(05):1310-1318.
李信,李勇军,赵尚弘.基于能量效率的星地NOMA网络功率分配算法[J].电子学报,2023,51(05):1310-1318. DOI： 10.12263/DZXB.20220259.

LI Xin,LI Yong-jun,ZHAO Shang-hong.Power Allocation in Satellite-Terrestrial NOMA Network Based on Energy Efficiency[J].ACTA ELECTRONICA SINICA,2023,51(05):1310-1318. DOI： 10.12263/DZXB.20220259.

摘要

为了提高卫星地面网络的能量效率和用户服务公平性，减小系统内干扰，本文提出了一种基于能量效率的星地非正交多址（Non-Orthogonal Multiple Access，NOMA）网络功率分配算法.首先基于最大化系统能量效率原则，设计了一种卫星用户选择和地面用户分组策略.其次以系统内干扰、最大发射功率以及用户服务质量为约束条件，建立了地面和卫星功率分配优化模型，利用连续凸近似和Dinkelbach法，将基于能量效率的非凸问题转化为凸优化问题，并利用拉格朗日对偶法和次梯度迭代法求得解析解.研究结果表明，当基站最大发射功率为50dBm时，相对于贪婪算法策略，所提配对策略能量效率提升约13.4%，相对于固定相关度策略，所提配对策略能量效率提升约8.2%，相比于正交多址功率分配策略，所提联合最优功率分配算法系统能量效率提升约10.1%.

Abstract

In order to improve the energy efficiency and service fairness of satellite-terrestrial networks

and reducing the intra-system interference

this paper proposes an energy-efficiency power allocation algorithm for satellite-terrestrial non-orthogonal multiple access networks. Firstly

we design a strategy for satellite users selection and terrestrial users grouping based on the principle of maximizing system energy efficiency. Secondly

we establish a satellite and terrestrial power allocation optimization model under the constraints of the intra-system interference

maximum emission power

and users service quality. Then

the non-convex problem based on energy efficiency is converted into the convex optimization problem by the successive convex approximation and Dinkelbach method. The analytical solutions are obtained by the Lagrangian dual and subgradient iteration approach. The results show that the energy efficiency of the proposed pairing strategy improves by about 13.4% relative to the greedy algorithm strategy and improves by about 8.2% relative to the fixed correlation strategy when the maximum emission power of the base station is 50dBm.And the energy efficiency of the proposed joint optimal power allocation algorithm increases by about 14.5% compared to the orthogonal multiple access power allocation strategy.

关键词

Keywords

references

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