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Title: Dynamic network service selection in intelligent reflecting surface-enabled wireless systems: game theory approaches
Authors: Thanh Van, Nguyen Thi
Luong, Nguyen Cong
Feng, Shaohan
Nguyen, Huy T.
Zhu, Kun
Luong, Thien Van
Niyato, Dusit
Keywords: Engineering::Computer science and engineering
Issue Date: 2022
Source: Thanh Van, N. T., Luong, N. C., Feng, S., Nguyen, H. T., Zhu, K., Luong, T. V. & Niyato, D. (2022). Dynamic network service selection in intelligent reflecting surface-enabled wireless systems: game theory approaches. IEEE Transactions On Wireless Communications, 21(8), 5947-5961.
Journal: IEEE Transactions on Wireless Communications 
Abstract: 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.
ISSN: 1536-1276
DOI: 10.1109/TWC.2022.3144403
Rights: © 2022 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
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