Dual-target WOA spectrum sharing algorithm based on Stackelberg game

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 optimi...

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Main Authors: Li ZHANG, Tian LIAO, Yejun HE
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2020-09-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020156/
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author Li ZHANG
Tian LIAO
Yejun HE
author_facet Li ZHANG
Tian LIAO
Yejun HE
author_sort Li ZHANG
collection DOAJ
description 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.
format Article
id doaj-art-a10b22a39bdc48279e9902d7e3bca531
institution Kabale University
issn 1000-436X
language zho
publishDate 2020-09-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-a10b22a39bdc48279e9902d7e3bca5312025-01-14T07:19:57ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2020-09-014117017859737488Dual-target WOA spectrum sharing algorithm based on Stackelberg gameLi ZHANGTian LIAOYejun HEIn 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.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020156/game theorydual-target WOAStackelberg gamespectrum sharing
spellingShingle Li ZHANG
Tian LIAO
Yejun HE
Dual-target WOA spectrum sharing algorithm based on Stackelberg game
Tongxin xuebao
game theory
dual-target WOA
Stackelberg game
spectrum sharing
title Dual-target WOA spectrum sharing algorithm based on Stackelberg game
title_full Dual-target WOA spectrum sharing algorithm based on Stackelberg game
title_fullStr Dual-target WOA spectrum sharing algorithm based on Stackelberg game
title_full_unstemmed Dual-target WOA spectrum sharing algorithm based on Stackelberg game
title_short Dual-target WOA spectrum sharing algorithm based on Stackelberg game
title_sort dual target woa spectrum sharing algorithm based on stackelberg game
topic game theory
dual-target WOA
Stackelberg game
spectrum sharing
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020156/
work_keys_str_mv AT lizhang dualtargetwoaspectrumsharingalgorithmbasedonstackelberggame
AT tianliao dualtargetwoaspectrumsharingalgorithmbasedonstackelberggame
AT yejunhe dualtargetwoaspectrumsharingalgorithmbasedonstackelberggame