Blockchain-based spectrum sharing algorithm

Han Yingjie; Zhu Qi

doi:10.11959/j.issn.1000-0801.2026006

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Blockchain-based spectrum sharing algorithm

Research and Development | 更新时间：2026-03-02

- Blockchain-based spectrum sharing algorithm
- Telecommunications Science Vol. 42, Issue 1, Pages: 116-126(2026)
- 作者机构：
  
  1.南京邮电大学江苏省无线通信重点实验室，江苏南京 210003
  2.南京邮电大学教育部泛在网络健康服务系统工程研究中心，江苏南京 210003
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(92367302);Jiangsu Provincial Key and Development Program(BE2022068-2)
- DOI：10.11959/j.issn.1000-0801.2026006
  CLC： TN929.5
- Received：27 February 2025，
  
  Revised：2025-06-22，
  
  Accepted：07 July 2025，
  
  Published：20 January 2026
- 稿件说明：
移动端阅览
韩英杰,朱琦.基于区块链的频谱共享算法[J].电信科学,2026,42(01):116-126.

Han Yingjie,Zhu Qi.Blockchain-based spectrum sharing algorithm[J].Telecommunications Science,2026,42(01):116-126.
韩英杰,朱琦.基于区块链的频谱共享算法[J].电信科学,2026,42(01):116-126. DOI： 10.11959/j.issn.1000-0801.2026006.

Han Yingjie,Zhu Qi.Blockchain-based spectrum sharing algorithm[J].Telecommunications Science,2026,42(01):116-126. DOI： 10.11959/j.issn.1000-0801.2026006.

摘要

无人机因其具有成本低、移动性高且部署灵活等特点，可以广泛应用于许多场景，但是大多数无人机工作在免执照频段，缺乏安全监管。为此，构建了一种基于区块链的频谱共享系统模型，其中移动网络运营商为联盟链的全节点，同时作为区块链的预言机节点，各个移动运营商可以实时更新频谱的使用情况，此外，整个频谱交易运行在区块链上，利用智能合约进行交易，提高了频谱交易的有效性和安全性。同时引入激励机制，激励移动网络运营商积极参与出租频段和计算频谱共享策略。提出一种基于累计干扰的图着色频谱共享拍卖算法，该算法综合考虑租赁频谱收益、服务费以及干扰影响，定义了运营商的效用函数，采用基于累计干扰的图着色方法实现了高效的频谱共享。仿真结果表明，提出的方法可以提高无人机和运营商双方的收益，同时保证了频谱交易的安全性。

Abstract

Unmanned aerial vehicles (UAVs) can be widely used in many scenarios due to their low cost

high mobility and flexible deployment

but most UAVs work in license-free frequency bands and lack safety supervision. A blockchain-based spectrum sharing system model was constructed. In this model

the mobile network operator was the full node of the consortium chain and the oracle node of the blockchain

each mobile operator could update the spectrum usage in real time

and the entire spectrum transaction ran on the blockchain and used smart contracts to trade

which improved the effectiveness and security of spectrum trading. At the same time

an incentive mechanism was introduced to incentivize mobile network operators to actively participate in leased frequency bands and computing spectrum sharing strategies. A graph coloring spectrum sharing auction algorithm based on cumulative interference was proposed

which comprehensively considered the revenue of leased spectrum

service fee and interference impact to define the utility function of operators

and realized efficient spectrum sharing based on cumulative interference map coloring method. The simulation results show that the proposed method can improve the benefits of both the UAV and the operator

and at the same time ensure the security of spectrum trading.

关键词

Keywords

references

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