区块链赋能的战场分布式频谱分配：一种快速匹配算法

侯杰; 陈曦; 陶诗飞; 王昊; 侯至旸; 胡乃杰

doi:10.12263/DZXB.20240687

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区块链赋能的战场分布式频谱分配：一种快速匹配算法

电磁频谱与无人技术 | 更新时间：2025-08-18

- 区块链赋能的战场分布式频谱分配：一种快速匹配算法
- Blockchain-Enabled Distributed Spectrum Allocation in Battlefield: A Fast Matching Algorithm
- 电子学报 2025年53卷第5期页码：1390-1404
- 作者机构：
  
  1.南京理工大学电子工程与光电技术学院，江苏南京 210094
  2.南京理工大学机械工程学院，江苏南京 210094
- 作者简介：
  
  [ "侯杰男，1997年12月出生于山东省泰安市.现为南京理工大学电子工程与光电技术学院博士研究生.主要研究方向为电磁频谱管理、深度学习、强化学习.E-mail: 223104130109@njust.edu.cn" ]
  [ "陈曦女，1984年10月出生于江苏省徐州市.现为南京理工大学研究员、硕士生导师.主要研究方向为电磁频谱管理技术、电磁空间数字孪生. E-mail: chenxi@njust.edu.cn" ]
  [ "陶诗飞男，1987年7月出生于江苏省南京市.现为南京理工大学副教授、硕士生导师.主要研究方向为雷达目标特性分析、雷达成像及信号处理、计算电磁学. E-mail: s.tao@njust.edu.cn" ]
  [ "王昊男，1980年7月出生于江苏省南京市.现为南京理工大学电子工程与光电技术学院研究员、博士生导师.主要研究方向为数字波束形成天线系统、多功能雷达天线系统、新型通信天线系统.中国电子学会会员编号：E190159575M. E-mail: haowang@mail.njust.edu.cn" ]
  [ "侯至旸男，2000年1月出生于内蒙古自治区鄂尔多斯市.现为南京理工大学电子工程与光电技术学院博士研究生.主要研究方向为频谱感知、小样本学习. E-mail: houzhiyang@njust.edu.cn" ]
  [ "胡乃杰男，2001年6月出生于山东省日照市.现为南京理工大学机械工程学院硕士研究生.主要研究方向为电磁空间数字孪生、频谱感知. E-mail: hunaijie@njust.edu.cn" ]
- 基金信息：
  
  国防科工局基础科研项目(JCKY2023XXXX007);国家自然科学基金(61991404)
- DOI：10.12263/DZXB.20240687
  中图分类号： TN92;
- 收稿：2024-07-22，
  
  修回：2025-02-26，
  
  纸质出版：2025-05-25
- 稿件说明：
移动端阅览
侯杰, 陈曦, 陶诗飞, 等. 区块链赋能的战场分布式频谱分配：一种快速匹配算法[J]. 电子学报, 2025, 53(05): 1390-1404.

HOU Jie, CHEN Xi, TAO Shi-fei, et al. Blockchain-Enabled Distributed Spectrum Allocation in Battlefield: A Fast Matching Algorithm[J]. Acta Electronica Sinica, 2025, 53(05): 1390-1404.
侯杰, 陈曦, 陶诗飞, 等. 区块链赋能的战场分布式频谱分配：一种快速匹配算法[J]. 电子学报, 2025, 53(05): 1390-1404. DOI：10.12263/DZXB.20240687

HOU Jie, CHEN Xi, TAO Shi-fei, et al. Blockchain-Enabled Distributed Spectrum Allocation in Battlefield: A Fast Matching Algorithm[J]. Acta Electronica Sinica, 2025, 53(05): 1390-1404. DOI：10.12263/DZXB.20240687

摘要

针对战场环境中传统的频谱资源分配管理模式响应速度慢、实时性低的问题，首先构建了区块链赋能的分布式频谱分配架构，考虑了用频满意度、冲突及优先级等约束条件，建立了优化目标模型，提出一种基于匹配理论的分布式盖尔-沙普利（Distributed Gale-Shapley，D-GS）频谱分配算法，使战场频谱分配从静态集中式转变为动态分布式，大大提高了频谱分配的性能，并通过加入贪心机制和用频单位的满意度阈值，使作战单位能够在较晚提交用频需求的情况下，显著提高频谱分配的满意度.仿真结果表明：所提方法在频谱资源受限情况下，能够保障用频单位的用频满意度且极大发挥分布式频谱管理的实时性，与静态集中式频谱分配方法相比，时间开销降低超过1个数量级.该算法具有更优的时间性能、频谱分配效率，使得战场频谱分配获得更好的效果.

Abstract

In response to the issue of slow responsiveness and low real-time performance in traditional spectrum resource allocation management within battlefield environments

a blockchain-enabled distributed spectrum allocation architecture is first established. Constraints such as spectrum satisfaction

conflicts

and priority are taken into consideration to formulate an optimization objective model. A distributed gale-shapley (D-GS) spectrum allocation algorithm based on matching theory is proposed

transforming battlefield spectrum allocation from static centralized to dynamic distributed

significantly improving spectrum allocation performance. By incorporating a greedy mechanism and a satisfaction threshold for spectrum units

combat units can notably enhance spectrum allocation satisfaction even when spectrum demands are submitted late. Simulation results demonstrate that the proposed method

under limited spectrum resource conditions

ensures unit satisfaction and maximizes the real-time nature of distributed spectrum management. Compared to static centralized spectrum allocation methods

the time overhead is reduced by over one order of magnitude

indicating significant advantages. The algorithm exhibits superior time performance and spectrum allocation efficiency

leading to improved spectrum allocation in battlefield scenarios.

关键词

Keywords

references

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