Pricing for Reconfigurable Intelligent Surface Aided Wireless Networks: Models and Principles
Yulan Gao, Yue Xiao, Xianfu Lei, Qiaonan Zhu, Dusit Niyato, Kai-Kit, Wong, Pingzhi Fan, Rose Qingyang Hu

TL;DR
This paper explores pricing strategies in reconfigurable intelligent surface (RIS) aided wireless networks to balance interests of service providers and property owners, proposing models and game-theoretic solutions for efficient deployment.
Contribution
It introduces RIS pricing models, summarizes fundamentals, and demonstrates a Stackelberg game approach for utility maximization in RIS-assisted wireless networks.
Findings
Proposes comprehensive RIS pricing models.
Demonstrates a Stackelberg game for utility maximization.
Highlights open issues and future research directions.
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 energy-efficient, 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…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Modular Robots and Swarm Intelligence · Satellite Communication Systems
Methodstravel james
