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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Language: | zho |
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Editorial Department of Journal on Communications
2020-09-01
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Series: | Tongxin xuebao |
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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 |