Staff View: Dynamic Network Service Selection in Intelligent Reflecting Surface-Enabled Wireless Systems: Game Theory Approaches

Dynamic Network Service Selection in Intelligent Reflecting Surface-Enabled Wireless Systems: Game Theory Approaches

In this paper, we address dynamic network selection problems of mobile users in an Intelligent Reflecting Surface (IRS)-enabled wireless network. In particular, the users dynamically select different Service Providers (SPs) and network services over time. The network services are composed of adjusta...

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Main Authors:	Nguyen, Thi Thanh Van, Nguyen, Cong Luong, Feng, Shaohan
Format:	Bài trích
Language:	English
Published:	IEEE Transactions on Magnetics 2022
Subjects:	Intelligent reflecting surface Next-generation wireless network
Online Access:	https://ieeexplore.ieee.org/document/9694514/keywords#keywords https://dlib.phenikaa-uni.edu.vn/handle/PNK/5882 https://doi.org/10.1109/twc.2022.3144403
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spelling	oai:localhost:PNK-58822022-08-17T05:54:54Z Dynamic Network Service Selection in Intelligent Reflecting Surface-Enabled Wireless Systems: Game Theory Approaches Nguyen, Thi Thanh Van Nguyen, Cong Luong Feng, Shaohan Intelligent reflecting surface Next-generation wireless network In this paper, we address dynamic network selection problems of mobile users in an Intelligent Reflecting Surface (IRS)-enabled wireless network. In particular, the users dynamically select different Service Providers (SPs) and network services over time. The network services are composed of adjustable resources of IRS and transmit power. To formulate the SP and network service selection, we adopt an evolutionary game in which the users are able to adapt their network selections depending on the utilities that they achieve. For this, the replicator dynamics is used to model the service selection adaptation of the users. To allow the users to take their past service experiences into account their decisions, we further adopt an enhanced version of the evolutionary game, namely fractional evolutionary game, to study the SP and network service selection. The fractional evolutionary game incorporates the memory effect that captures the users’ memory on their decisions. We theoretically prove that both the game approaches have a unique equilibrium. Finally, we provide numerical results to demonstrate the effectiveness of our proposed game approaches. In particular, we have reveal some important finding, for instance, with the memory effect, the users can achieve the utility higher than that without the memory effect 2022-07-13T01:59:48Z 2022-07-13T01:59:48Z 2022 Bài trích https://ieeexplore.ieee.org/document/9694514/keywords#keywords https://dlib.phenikaa-uni.edu.vn/handle/PNK/5882 https://doi.org/10.1109/twc.2022.3144403 en IEEE Transactions on Magnetics
institution	Digital Phenikaa
collection	Digital Phenikaa
language	English
topic	Intelligent reflecting surface Next-generation wireless network
spellingShingle	Intelligent reflecting surface Next-generation wireless network Nguyen, Thi Thanh Van Nguyen, Cong Luong Feng, Shaohan Dynamic Network Service Selection in Intelligent Reflecting Surface-Enabled Wireless Systems: Game Theory Approaches
description	In this paper, we address dynamic network selection problems of mobile users in an Intelligent Reflecting Surface (IRS)-enabled wireless network. In particular, the users dynamically select different Service Providers (SPs) and network services over time. The network services are composed of adjustable resources of IRS and transmit power. To formulate the SP and network service selection, we adopt an evolutionary game in which the users are able to adapt their network selections depending on the utilities that they achieve. For this, the replicator dynamics is used to model the service selection adaptation of the users. To allow the users to take their past service experiences into account their decisions, we further adopt an enhanced version of the evolutionary game, namely fractional evolutionary game, to study the SP and network service selection. The fractional evolutionary game incorporates the memory effect that captures the users’ memory on their decisions. We theoretically prove that both the game approaches have a unique equilibrium. Finally, we provide numerical results to demonstrate the effectiveness of our proposed game approaches. In particular, we have reveal some important finding, for instance, with the memory effect, the users can achieve the utility higher than that without the memory effect
format	Bài trích
author	Nguyen, Thi Thanh Van Nguyen, Cong Luong Feng, Shaohan
author_facet	Nguyen, Thi Thanh Van Nguyen, Cong Luong Feng, Shaohan
author_sort	Nguyen, Thi Thanh Van
title	Dynamic Network Service Selection in Intelligent Reflecting Surface-Enabled Wireless Systems: Game Theory Approaches
title_short	Dynamic Network Service Selection in Intelligent Reflecting Surface-Enabled Wireless Systems: Game Theory Approaches
title_full	Dynamic Network Service Selection in Intelligent Reflecting Surface-Enabled Wireless Systems: Game Theory Approaches
title_fullStr	Dynamic Network Service Selection in Intelligent Reflecting Surface-Enabled Wireless Systems: Game Theory Approaches
title_full_unstemmed	Dynamic Network Service Selection in Intelligent Reflecting Surface-Enabled Wireless Systems: Game Theory Approaches
title_sort	dynamic network service selection in intelligent reflecting surface-enabled wireless systems: game theory approaches
publisher	IEEE Transactions on Magnetics
publishDate	2022
url	https://ieeexplore.ieee.org/document/9694514/keywords#keywords https://dlib.phenikaa-uni.edu.vn/handle/PNK/5882 https://doi.org/10.1109/twc.2022.3144403
_version_	1751856316741058560
score	8.891145

Dynamic Network Service Selection in Intelligent Reflecting Surface-Enabled Wireless Systems: Game Theory Approaches

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