Study on energy saving strategy and Nash equilibrium of base station in cognitive radio network

Spectrum utilization can be improved in cognitive radio network (CRN), however, the problem of increasing communication energy consumption was also brought. Under the premise of ensuring the experience quality of system users, the concept of green communication in CRN was introduced, and a novel ene...

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Main Authors: Xiao-tong MA, Shun-fu JIN, Jian-ping LIU, Zhan-qiang HUO
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2016-07-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016146/
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author Xiao-tong MA
Shun-fu JIN
Jian-ping LIU
Zhan-qiang HUO
author_facet Xiao-tong MA
Shun-fu JIN
Jian-ping LIU
Zhan-qiang HUO
author_sort Xiao-tong MA
collection DOAJ
description Spectrum utilization can be improved in cognitive radio network (CRN), however, the problem of increasing communication energy consumption was also brought. Under the premise of ensuring the experience quality of system users, the concept of green communication in CRN was introduced, and a novel energy saving strategy for base station was proposed. Accordingly, a two-dimensional discrete time Markov stochastic model with preemptive priority service and single working vacation was established. Using the method of a matrix geometric solution, the system performance of the energy saving strategy was evaluated in terms of energy saving rate, channel utilization, average delay of secon-dary users and interruption of secondary users. The theoretical analysis results and the simulation results verify the effec-tiveness of the energy saving strategy. From the perspective of economics, a profit function was constructed and a nonlinear optimization algorithm was designed to investigate the Nash equilibrium and the socially optimal behavior of the secondary user packets, then a pricing policy of licensed spectrum for secondary users was formulated. In view of different system parameters, the system experiment was carried out to validate the rationality of the pricing policy.
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institution Kabale University
issn 1000-436X
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publishDate 2016-07-01
publisher Editorial Department of Journal on Communications
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series Tongxin xuebao
spelling doaj-art-4ab5cb057137483893610bdd30d499972025-01-14T06:55:51ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-07-013717218159702480Study on energy saving strategy and Nash equilibrium of base station in cognitive radio networkXiao-tong MAShun-fu JINJian-ping LIUZhan-qiang HUOSpectrum utilization can be improved in cognitive radio network (CRN), however, the problem of increasing communication energy consumption was also brought. Under the premise of ensuring the experience quality of system users, the concept of green communication in CRN was introduced, and a novel energy saving strategy for base station was proposed. Accordingly, a two-dimensional discrete time Markov stochastic model with preemptive priority service and single working vacation was established. Using the method of a matrix geometric solution, the system performance of the energy saving strategy was evaluated in terms of energy saving rate, channel utilization, average delay of secon-dary users and interruption of secondary users. The theoretical analysis results and the simulation results verify the effec-tiveness of the energy saving strategy. From the perspective of economics, a profit function was constructed and a nonlinear optimization algorithm was designed to investigate the Nash equilibrium and the socially optimal behavior of the secondary user packets, then a pricing policy of licensed spectrum for secondary users was formulated. In view of different system parameters, the system experiment was carried out to validate the rationality of the pricing policy.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016146/cognitive radio networkenergy saving strategysingle working vacationintelligent optimization, pricing policy
spellingShingle Xiao-tong MA
Shun-fu JIN
Jian-ping LIU
Zhan-qiang HUO
Study on energy saving strategy and Nash equilibrium of base station in cognitive radio network
Tongxin xuebao
cognitive radio network
energy saving strategy
single working vacation
intelligent optimization, pricing policy
title Study on energy saving strategy and Nash equilibrium of base station in cognitive radio network
title_full Study on energy saving strategy and Nash equilibrium of base station in cognitive radio network
title_fullStr Study on energy saving strategy and Nash equilibrium of base station in cognitive radio network
title_full_unstemmed Study on energy saving strategy and Nash equilibrium of base station in cognitive radio network
title_short Study on energy saving strategy and Nash equilibrium of base station in cognitive radio network
title_sort study on energy saving strategy and nash equilibrium of base station in cognitive radio network
topic cognitive radio network
energy saving strategy
single working vacation
intelligent optimization, pricing policy
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016146/
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AT shunfujin studyonenergysavingstrategyandnashequilibriumofbasestationincognitiveradionetwork
AT jianpingliu studyonenergysavingstrategyandnashequilibriumofbasestationincognitiveradionetwork
AT zhanqianghuo studyonenergysavingstrategyandnashequilibriumofbasestationincognitiveradionetwork