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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Tác giả chính: Nguyen, Thi Thanh Van, Nguyen, Cong Luong, Feng, Shaohan
Định dạng: Bài trích
Ngôn ngữ:English
Nhà xuất bản: IEEE Transactions on Magnetics 2022
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Truy cập trực tuyến: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
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score 8.891145