Pricing models for 5G multi-tenancy using game theory framework

Anantha Kumar, Shruthi Koratagere and Crawford, David and Stewart, Robert (2023) Pricing models for 5G multi-tenancy using game theory framework. IEEE Communications Magazine. ISSN 0163-6804 (In Press)

[thumbnail of Kumar-etal-IEEE-CM-2023-Pricing-models-for-5G-multi-tenancy]
Preview
 Text. Filename: Kumar_etal_IEEE_CM_2023_Pricing_models_for_5G_multi_tenancy.pdf
Accepted Author Manuscript
License: Strathprints license 1.0
Download (749kB)| Preview

Abstract

5G network slicing with multi-tenancy, known as neutral host networks (NHN), is being investigated to reduce the digital divide in regions with and without existing infrastructure. The digital divide is typically higher in rural areas. Hence, the key questions that need to be addressed include: What are the potential pricing strategies for 5G supporting multi-operator network sharing? Which pricing strategy is most profitable in areas with a digital divide for the infrastructure provider (InP) and the 5G operator? The study uses the game theory framework's pricing strategies - Shapley value, bargaining game, and dynamic pricing. We also apply the Nash equilibrium concept to find the most suitable pricing strategy for various input scenarios for the players. This paper evaluates pricing strategies for 5G NHN in rural areas to attract investment from stakeholders and maximize their return on investment. The results from the case study for rural areas show that the Shapley value produces the highest payoff for the operator in a scenario with more than 200 subscribers, whereas dynamic pricing is more suitable for the InP. Applying the Nash equilibrium concept to both players in this game suggests that dynamic pricing produces a mutually beneficial strategy.

ORCID iDs

Anantha Kumar, Shruthi Koratagere ORCID logoORCID: https://orcid.org/0000-0003-4585-9014, Crawford, David ORCID logoORCID: https://orcid.org/0000-0002-2698-594X and Stewart, Robert ORCID logoORCID: https://orcid.org/0000-0002-7779-8597;
  • Item type:Article
    ID code:85725
    Dates:
    Date
    Event
    3 June 2023
    Published
    3 June 2023
    Accepted
    9 November 2022
    Submitted
    Notes:© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering > Telecommunication
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:08 Jun 2023 11:38
    Last modified:21 Nov 2024 01:35
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/85725
CORE (COnnecting REpositories)