Agent-based dynamic spectrum trading algorithm in cognitive radio network

In order to improve the benefits generated by spectrum sharing, the spectrum management was studied and the agent-based dynamic spectrum trading algorithm was proposed. In the algorithm, the agent was used as a medium for spectrum trading, which reduced the huge system overhead among multi-primary s...

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Main Authors: Shi-bing ZHANG, Guo-dong ZHANG, Zhi-hua BAO
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2013-03-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.03.015/
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author Shi-bing ZHANG
Guo-dong ZHANG
Zhi-hua BAO
author_facet Shi-bing ZHANG
Guo-dong ZHANG
Zhi-hua BAO
author_sort Shi-bing ZHANG
collection DOAJ
description In order to improve the benefits generated by spectrum sharing, the spectrum management was studied and the agent-based dynamic spectrum trading algorithm was proposed. In the algorithm, the agent was used as a medium for spectrum trading, which reduced the huge system overhead among multi-primary service providers (PSP) and mul-ti-secondary users (SU). All PSP competed or cooperated with each other to achieve the maximum self-profit or total profit respectively, and come to terms with the agents on the final transaction price and quantity of spectrum. And then, the agent auctioned the spectrum among all SU. Each SU submitted a bid to the agent, then the agent allocated corres-ponding spectrum quantity to the SU. All SU adaptively adjusted the bids to achieve the maximum self-profit. Nash equi-librium was considered as the solution to both the game among PSP and the auction among SU. Simulation results show that the proposed algorithm performs well.
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institution Kabale University
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language zho
publishDate 2013-03-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-97e93009dfb64bfe8f4a7d5a35fd5d4e2025-01-14T06:34:51ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2013-03-013411912559670884Agent-based dynamic spectrum trading algorithm in cognitive radio networkShi-bing ZHANGGuo-dong ZHANGZhi-hua BAOIn order to improve the benefits generated by spectrum sharing, the spectrum management was studied and the agent-based dynamic spectrum trading algorithm was proposed. In the algorithm, the agent was used as a medium for spectrum trading, which reduced the huge system overhead among multi-primary service providers (PSP) and mul-ti-secondary users (SU). All PSP competed or cooperated with each other to achieve the maximum self-profit or total profit respectively, and come to terms with the agents on the final transaction price and quantity of spectrum. And then, the agent auctioned the spectrum among all SU. Each SU submitted a bid to the agent, then the agent allocated corres-ponding spectrum quantity to the SU. All SU adaptively adjusted the bids to achieve the maximum self-profit. Nash equi-librium was considered as the solution to both the game among PSP and the auction among SU. Simulation results show that the proposed algorithm performs well.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.03.015/cognitive radio networkspectrum tradinggame theoryauction theoryNash equilibrium
spellingShingle Shi-bing ZHANG
Guo-dong ZHANG
Zhi-hua BAO
Agent-based dynamic spectrum trading algorithm in cognitive radio network
Tongxin xuebao
cognitive radio network
spectrum trading
game theory
auction theory
Nash equilibrium
title Agent-based dynamic spectrum trading algorithm in cognitive radio network
title_full Agent-based dynamic spectrum trading algorithm in cognitive radio network
title_fullStr Agent-based dynamic spectrum trading algorithm in cognitive radio network
title_full_unstemmed Agent-based dynamic spectrum trading algorithm in cognitive radio network
title_short Agent-based dynamic spectrum trading algorithm in cognitive radio network
title_sort agent based dynamic spectrum trading algorithm in cognitive radio network
topic cognitive radio network
spectrum trading
game theory
auction theory
Nash equilibrium
url http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.03.015/
work_keys_str_mv AT shibingzhang agentbaseddynamicspectrumtradingalgorithmincognitiveradionetwork
AT guodongzhang agentbaseddynamicspectrumtradingalgorithmincognitiveradionetwork
AT zhihuabao agentbaseddynamicspectrumtradingalgorithmincognitiveradionetwork