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Game Theory for Networks. 11th International EAI Conference, GameNets 2022, Virtual Event, July 7–8, 2022, Proceedings

Research Article

Dynamic Pricing for Tenants in an Automated Slicing Marketplace

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  • @INPROCEEDINGS{10.1007/978-3-031-23141-4_21,
        author={Alessandro Lieto and Ilaria Malanchini and Silvio Mandelli and Antonio Capone},
        title={Dynamic Pricing for Tenants in an Automated Slicing Marketplace},
        proceedings={Game Theory for Networks. 11th International EAI Conference, GameNets 2022, Virtual Event, July 7--8, 2022, Proceedings},
        proceedings_a={GAMENETS},
        year={2023},
        month={1},
        keywords={Network slicing Game theory Dynamic pricing Slicing marketplace},
        doi={10.1007/978-3-031-23141-4_21}
    }
    
  • Alessandro Lieto
    Ilaria Malanchini
    Silvio Mandelli
    Antonio Capone
    Year: 2023
    Dynamic Pricing for Tenants in an Automated Slicing Marketplace
    GAMENETS
    Springer
    DOI: 10.1007/978-3-031-23141-4_21
Alessandro Lieto,*, Ilaria Malanchini, Silvio Mandelli, Antonio Capone
    *Contact email: alessandro.lieto@nokia-bell-labs.com

    Abstract

    The paradigm shift from aone-size-fits-allarchitecture to aservice-orientednetwork infrastructure promised by network slicing will demand novel technical solutions, as well as new business models. In particular, the role separation between infrastructure providers, i.e. the ones owning the network, and slice tenants, i.e. the ones providing specialized services tailored to their vertical segments, may encourage the definition of a shared platform (or marketplace) where the former can monetize their network infrastructure by leasing network resources at a market price, and the latter can rent on-demand the network resources needed to offer their services at the desired quality. This also enables the flexibility for the slice tenants to optimize the management of their slices by adapting their resource demand to fluctuations of their traffic or variations of the price in the market. In this paper, we extend the market mechanism scheme developed in previous works by including intra-slice radio admission control policies in the utility definition of the tenants in the slicing market game. Moreover, we characterize the mathematical properties of the game with respect to slice configuration, i.e. how diverse strategical behavior of the tenants affects the market operation, in terms of slice resource allocation and performance. Our analysis offers insights to the slice tenants on how they could reconfigure their techno-economic performance indicators in response to the dynamics of network and of the market, namely how to adapt their long-term (and/or real-time) strategies to the fluctuations of the traffic to enhance network performance and increase profits.

    Keywords
    Network slicing Game theory Dynamic pricing Slicing marketplace
    Published
    2023-01-08
    Appears in
    SpringerLink
    http://dx.doi.org/10.1007/978-3-031-23141-4_21
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