  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 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.
