Contract-Inspired Contest Theory for Controllable Image Generation in Mobile Edge Metaverse Article Swipe
Guangyuan Liu
,
Hongyang Du
,
Jiacheng Wang
,
Dusit Niyato
,
Dong In Kim
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2501.09391
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2501.09391
The rapid advancement of immersive technologies has propelled the development of the Metaverse, where the convergence of virtual and physical realities necessitates the generation of high-quality, photorealistic images to enhance user experience. However, generating these images, especially through Generative Diffusion Models (GDMs), in mobile edge computing environments presents significant challenges due to the limited computing resources of edge devices and the dynamic nature of wireless networks. This paper proposes a novel framework that integrates contract-inspired contest theory, Deep Reinforcement Learning (DRL), and GDMs to optimize image generation in these resource-constrained environments. The framework addresses the critical challenges of resource allocation and semantic data transmission quality by incentivizing edge devices to efficiently transmit high-quality semantic data, which is essential for creating realistic and immersive images. The use of contest and contract theory ensures that edge devices are motivated to allocate resources effectively, while DRL dynamically adjusts to network conditions, optimizing the overall image generation process. Experimental results demonstrate that the proposed approach not only improves the quality of generated images but also achieves superior convergence speed and stability compared to traditional methods. This makes the framework particularly effective for optimizing complex resource allocation tasks in mobile edge Metaverse applications, offering enhanced performance and efficiency in creating immersive virtual environments.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2501.09391
- https://arxiv.org/pdf/2501.09391
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4406548257Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2501.09391Digital Object Identifier
- Title
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Contract-Inspired Contest Theory for Controllable Image Generation in Mobile Edge MetaverseWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-01-16Full publication date if available
- Authors
-
Guangyuan Liu, Hongyang Du, Jiacheng Wang, Dusit Niyato, Dong In KimList of authors in order
- Landing page
-
https://arxiv.org/abs/2501.09391Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2501.09391Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2501.09391Direct OA link when available
- Concepts
-
CONTEST, Enhanced Data Rates for GSM Evolution, Metaverse, Image (mathematics), Computer science, Human–computer interaction, Computer vision, Mathematical economics, Economics, Philosophy, Virtual reality, TheologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.transmission | 103 |
| abstract_inverted_index.Reinforcement | 78 |
| abstract_inverted_index.applications, | 197 |
| abstract_inverted_index.environments. | 90, 207 |
| abstract_inverted_index.high-quality, | 25 |
| abstract_inverted_index.incentivizing | 106 |
| abstract_inverted_index.photorealistic | 26 |
| abstract_inverted_index.contract-inspired | 74 |
| abstract_inverted_index.resource-constrained | 89 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile |