Resource Allocation and Pricing for Blockchain-enabled Metaverse: A Stackelberg Game Approach Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.48550/arxiv.2502.10765
As the next-generation Internet paradigm, the metaverse can provide users with immersive physical-virtual experiences without spatial limitations. However, there are various concerns to be overcome, such as resource allocation, resource pricing, and transaction security issues. To address the above challenges, we integrate blockchain technology into the metaverse to manage and automate complex interactions effectively and securely utilizing the advantages of blockchain. With the objective of promoting the Quality of Experience (QoE), Metaverse Service Users (MSUs) purchase rendering and bandwidth resources from the Metaverse Service Provider (MSP) to access low-latency and high-quality immersive services. The MSP maximizes the profit by controlling the unit prices of resources. In this paper, we model the interaction between the MSP and MSUs as a Stackelberg game, in which the MSP acts as the leader and MSUs are followers. The existence of Stackelberg equilibrium is analyzed and proved mathematically. Besides, we propose an efficient greedy-and-search-based resource allocation and pricing algorithm (GSRAP) to solve the Stackelberg equilibrium (SE) point. Finally, we conduct extensive simulations to verify the effectiveness and efficiency of our designs. The experiment results show that our algorithm outperforms the baseline scheme in terms of improving the MSP's profit and convergence speed.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2502.10765
- https://arxiv.org/pdf/2502.10765
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4407684174
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4407684174Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2502.10765Digital Object Identifier
- Title
-
Resource Allocation and Pricing for Blockchain-enabled Metaverse: A Stackelberg Game ApproachWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-02-15Full publication date if available
- Authors
-
Ziyi Zhu, Feilong Lin, Changbing Tang, Zhongyu ChenList of authors in order
- Landing page
-
https://arxiv.org/abs/2502.10765Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2502.10765Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2502.10765Direct OA link when available
- Concepts
-
Stackelberg competition, Blockchain, Resource allocation, Metaverse, Computer science, Game theory, Microeconomics, Economics, Computer security, Computer network, Human–computer interaction, Virtual realityTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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