基于Stackelberg博弈的双目标WOA频谱共享算法

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

Abstract

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

CLC Number:

TN925

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.

Figures/Tables 13

References 21

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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

Dual-target WOA spectrum sharing algorithm based on Stackelberg game

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