基于Stackelberg博弈的双目标WOA频谱共享算法

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

通信学报 ›› 2020, Vol. 41 ›› Issue (9): 170-178.doi: 10.11959/j.issn.1000-436x.2020156

基于Stackelberg博弈的双目标WOA频谱共享算法

张力,廖天,何业军

深圳大学电子与信息工程学院，广东深圳 518060

修回日期:2020-06-25 出版日期:2020-09-25 发布日期:2020-10-12
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
基金资助:
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)

Dual-target WOA spectrum sharing algorithm based on Stackelberg game

Li ZHANG,Tian LIAO,Yejun HE

College of Electronics and Information Engineering,Shenzhen University,Shenzhen 518060,China

Revised:2020-06-25 Online:2020-09-25 Published:2020-10-12
Supported by:
The National Natural Science Foundation of China(61372077);Shenzhen Fundamental Research Program(JCYJ20170302150411789);Shenzhen Fundamental Research Program(GJHZ20180418190529516);Shenzhen Fundamental Research Program(JSGG20180507183215520)

摘要/Abstract

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。

关键词: 博弈理论, 双目标WOA, Stackelberg博弈, 频谱共享

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.

Key words: game theory, dual-target WOA, Stackelberg game, spectrum sharing

中图分类号:

TN925

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.

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参数名称	参数值
授权用户数量M/个	2
认知用户数量N/个	200
小区噪声功率/dBm	-104
路径损耗/dB	3.7
阴影衰落标准差	8
小区半径/km	1
每个授权用户的带宽/MHz	30
权值c₁、c₂	2、2
公平加权系数δ₁、δ₂、δ₃	0.48、0.48、0.04
认知用户的信噪比范围/dB	9～22
授权用户闲置频谱资源W₁、W₂/MHz	20、20
负载功耗比	0.38
MATLAB仿真版本	R2014a

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

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