mlsanityData to 14 Oct 2026

Service Reservation and Pricing for Green Metaverses: A Stackelberg Game Approach

arXiv 2308.04914 ↗First posted 9 Aug 2023cs.AIcited by 1

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Abstract (arXiv)

Metaverse enables users to communicate, collaborate and socialize with each other through their digital avatars. Due to the spatio-temporal characteristics, co-located users are served well by performing their software components in a collaborative manner such that a Metaverse service provider (MSP) eliminates redundant data transmission and processing, ultimately reducing the total energy consumption. The energyefficient service provision is crucial for enabling the green and sustainable Metaverse. In this article, we take an augmented reality (AR) application as an example to achieve this goal. Moreover, we study an economic issue on how the users reserve offloading services from the MSP and how the MSP determines an optimal charging price since each user is rational to decide whether to accept the offloading service by taking into account the monetary cost. A single-leader multi-follower Stackelberg game is formulated between the MSP and users while each user optimizes an offloading probability to minimize the weighted sum of time, energy consumption and monetary cost. Numerical results show that our scheme achieves energy savings and satisfies individual rationality simultaneously compared with the conventional schemes. Finally, we identify and discuss open directions on how several emerging technologies are combined with the sustainable green Metaverse.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 9 of its 24 references that are in the map. First posted on arXiv 9 Aug 2023.

Builds on

9 of 24 references.

References · 9

  1. 2022A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies,and Challengescited by 39
  2. 2021Metaverse for Social Good: A University Campus Prototypecited by 17
  3. 2022Realizing the Metaverse with Edge Intelligence: A Match Made in Heavencited by 17
  4. 2021Wireless Edge-Empowered Metaverse: A Learning-Based Incentive Mechanism for Virtual Realitycited by 12
  5. 2021Reliable Distributed Computing for Metaverse: A Hierarchical Game-Theoretic Approachcited by 12
  6. 2021Unified Resource Allocation Framework for the Edge Intelligence-Enabled Metaversecited by 6
  7. 2022Exploring Attention-Aware Network Resource Allocation for Customized Metaverse Servicescited by 5
  8. 2022Joint User Association and Resource Pricing for Metaverse: Distributed and Centralized Approachescited by 4
  9. 20226G Mobile-Edge Empowered Metaverse: Requirements, Technologies, Challenges and Research Directionscited by 4

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