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Pricing for Reconfigurable Intelligent Surface Aided Wireless Networks: Models and Principles

Gao, Y; Xiao, Y; Lei, X; Zhu, Q; Niyato, D; Wong, KK; Fan, P; (2022) Pricing for Reconfigurable Intelligent Surface Aided Wireless Networks: Models and Principles. IEEE Network 10.1109/MNET.108.2100638. (In press). Green open access

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Abstract

Owing to the recent advancements of meta-materials and meta-surfaces, the concept of reconfigurable intelligent surface (RIS) has been embraced to meet the spectral- and energyefficient, and yet cost-effective solutions for the sixth-generation (6G) wireless networks. From an operational standpoint, RISs can be easily deployed on the facades of buildings and indoor walls. Albeit promising, in the actual network operation, the deployment of RISs may face challenges because of the willingness and benefits of RIS holders from the aspect of installing RISs on their properties. Accordingly, RIS-aided wireless networks are faced with a formidable mission: how to balance the wireless service providers (WSPs) and RIS holders in terms of their respective interests. To alleviate this deadlock, we focus on the application of pricing models in RIS-aided wireless networks in pursuit of a win-win solution for both sides. Specifically, we commence with a comprehensive introduction of RIS pricing with its potential applications in RIS networks, meanwhile the fundamentals of pricing models are summarized in order to benefit both RIS holders and WSPs. In addition, a Stackelberg game-based model is exemplified to illustrate the operation of utility-maximization pricing. Finally, we highlight open issues and future research directions of applying pricing models to the RIS-aided wireless networks.

Type: Article
Title: Pricing for Reconfigurable Intelligent Surface Aided Wireless Networks: Models and Principles
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/MNET.108.2100638
Publisher version: https://doi.org/10.1109/MNET.108.2100638
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Reconfigurable intelligent surface, resource management, pricing models, 6G.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10161367
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