基于Stackelberg博弈的双目标WOA频谱共享算法

张力; 廖天; 何业军

doi:10.11959/j.issn.1000-436x.2020156

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基于Stackelberg博弈的双目标WOA频谱共享算法

学术论文 | 更新时间：2024-06-05

- 基于Stackelberg博弈的双目标WOA频谱共享算法
- Dual-target WOA spectrum sharing algorithm based on Stackelberg game
- 通信学报 2020年41卷第9期页码：170-178
- 作者机构：
  
  深圳大学电子与信息工程学院，广东深圳 518060
- 作者简介：
  
  [ "张力（1972– ），女，山东莱西人，博士，深圳大学教授，主要研究方向为数字水印技术、数字信号处理与信息安全等" ]
  [ "廖天（1995– ），男，江西赣州人，深圳大学硕士生，主要研究方向为频谱共享" ]
  [ "何业军（1969– ），男，湖北松滋人，博士，深圳大学教授、博士生导师，主要研究方向为无线通信、天线与射频等" ]
- 基金信息：
  
  国家自然科学基金资助项目(61372077);深圳市基础研究基金资助项目(JCYJ20170302150411789);深圳市基础研究基金资助项目(GJHZ20180418190529516);深圳市基础研究基金资助项目(JSGG20180507183215520)
- DOI：10.11959/j.issn.1000-436x.2020156
  中图分类号： TN925
- 网络出版日期：2020-09，
  
  纸质出版日期：2020-09-25
- 稿件说明：
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张力, 廖天, 何业军. 基于Stackelberg博弈的双目标WOA频谱共享算法[J]. 通信学报, 2020,41(9):170-178.

Li ZHANG, Tian LIAO, Yejun HE. Dual-target WOA spectrum sharing algorithm based on Stackelberg game[J]. Journal on communications, 2020, 41(9): 170-178.
张力, 廖天, 何业军. 基于Stackelberg博弈的双目标WOA频谱共享算法[J]. 通信学报, 2020,41(9):170-178. DOI： 10.11959/j.issn.1000-436x.2020156.

Li ZHANG, Tian LIAO, Yejun HE. Dual-target WOA spectrum sharing algorithm based on Stackelberg game[J]. Journal on communications, 2020, 41(9): 170-178. DOI： 10.11959/j.issn.1000-436x.2020156.

摘要

为解决复杂的频谱分配问题，引入具有较强并行计算能力的双目标鲸鱼优化算法（WOA），提出一种可以有效反映实际频谱需求的Stackelberg博弈，设计一种双目标WOA优化的分布式天线系统（DAS）频谱共享调度算法。仿真结果表明，从最优价格、用户收益等多个指标进行性能对比，所提算法具有较好的频谱共享分配效果，能实现公平有效的频谱分配，为未来通信网络频谱共享模式提供了重要参考。

Abstract

In order to solve the complex spectrum allocation problem

a dual-target whale optimization algorithm (WOA) with strong parallel computing capabilities was introduced

and a Stackelberg game model was proposed that could effectively reflect the actual spectrum requirements

and a dual-target WOA optimized distributed antenna system (DAS) spectrum sharing scheduling algorithm was designed.Simulation results show that performance comparison is performed from multiple indicators such as optimal pricing and user benefits.The proposed algorithm has a good spectrum sharing allocation effect

can achieve fair and effective spectrum allocation

and provides an important reference for the future communication network spectrum sharing mode.

关键词

Keywords

references

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