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Optimal Pricing in a Rented 5G Infrastructure Scenario with Sticky Customers

Author

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  • Marta Flamini

    (Faculty of Engineering, International Telematic University UNINETTUNO, 00186 Rome, Italy
    These authors contributed equally to this work.)

  • Maurizio Naldi

    (Department of Law, Economics, Politics, and Modern Languages, LUMSA University, 00192 Rome, Italy
    These authors contributed equally to this work.)

Abstract

The ongoing deployment of 5G is accompanied by architecture and pricing decisions. Network sharing is a critical feature, allowing operators to reduce their costs, but introducing a mixed partnering/competition situation, where the infrastructure owner, renting out their infrastructure to virtual operators (who act as customers), also provides services to end customers, competing with virtual operators. Pricing is the leverage through which an optimal balance between the two roles is accomplished. However, pricing may not be the only variable affecting customers’ choice, which may prefer (stick to) one operator for several reasons. In this paper, we formulate a game model to analyse the optimal pricing decisions for operators in the presence of such sticky behaviour of customers. After concluding that the game does not allow for a Nash equilibrium, we consider a case when one of the parties (the infrastructure owner, the virtual operators, or the regulator) is responsible for setting prices and analyse how operators’ profits are impacted when price-setting powers are shifted among the parties. The scenario where the regulator sets prices leads to the lowest profits for the operators, even lower than when competitors set prices.

Suggested Citation

  • Marta Flamini & Maurizio Naldi, 2023. "Optimal Pricing in a Rented 5G Infrastructure Scenario with Sticky Customers," Future Internet, MDPI, vol. 15(2), pages 1-23, February.
  • Handle: RePEc:gam:jftint:v:15:y:2023:i:2:p:82-:d:1073398
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    References listed on IDEAS

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    1. Timo Smura & Annukka Kiiski & Heikki Hämmäinen, 2007. "Virtual operators in the mobile industry: a techno-economic analysis," Netnomics, Springer, vol. 8(1), pages 25-48, October.
    2. Gerpott, Torsten J. & Rams, Wolfgang & Schindler, Andreas, 2001. "Customer retention, loyalty, and satisfaction in the German mobile cellular telecommunications market," Telecommunications Policy, Elsevier, vol. 25(4), pages 249-269, May.
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    Cited by:

    1. Luis Guijarro & Maurizio Naldi & Vicent Pla & Jose-Ramon Vidal, 2024. "Economics of Integrated Sensing and Communication service provision in 6G networks," Papers 2405.09963, arXiv.org.

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