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MEC-Enabled Cooperative Rendering in Metaverse: A Coalition Formation Game Approach
Cheng Mengzhen1; Su Zhou2; Wu Yuan3; Xu Qichao1; Dai Minghui3; Fang Dongfeng4
2024-06
Conference Name2024 IEEE International Conference on Communications (ICC’2024)
Source Publication2024 IEEE International Conference on Communications (ICC’2024)
Pages4548 - 4553
Conference DateJune 9-13
Conference PlaceDenver, CO, USA
PublisherInstitute of Electrical and Electronics Engineers Inc.
Abstract

Virtual Reality (VR) paves the way to link Meta-verse and the real world, allowing users to enjoy immersive experiences. However, delivering high-quality full spherical VR service within limited rendering energy is a challenge. Mobile edge computing (MEC) is a promising paradigm to provide rendering computation services to users. It is widely held that the rendering of panoramic video presents a significant impediment in the VR system, with disregard for the importance of the data correlation leading to excessive energy consumption caused by repeated rendering. In this paper, we propose a cooperative rendering scheme in mm Wave-enabled wireless networks with MEC via a coalition formation game, among which we focus on the data correlation of the background environment of VR streams. Specifically, we first devise a multiple MEC servers rendering framework, and we formulate an optimization problem to maximize the system utility, which contains energy savings for MEC servers and users' quality of experience (QoE). Then, considering the overlap of the VR streams requested by users in Metaverse, a coalition formation game is employed to model the cooperations among MEC servers, such that the user's QoE is significantly improved. The simulation experiments show that our proposed algorithm is superior to benchmark algorithms in improving the users' QoE and reducing the total energy consumption of MEC servers. 

KeywordGame Theory Metaverse Mobile Edge Computing (Mec) Video Streams Rendering Virtual Reality (Vr)
DOI10.1109/ICC51166.2024.10622276
URLView the original
Language英語English
Scopus ID2-s2.0-85202795638
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Document TypeConference paper
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Affiliation1.School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China
2.School of Cyber Science and Engineering, Xi'an Jiaotong University, Xi'an, China
3.University of Macau, State Key Laboratory of Internet of Things for Smart City, Macao
4.California Polytechnic State University, Department of Computer Science and Software Engineering, United States
Recommended Citation
GB/T 7714
Cheng Mengzhen,Su Zhou,Wu Yuan,et al. MEC-Enabled Cooperative Rendering in Metaverse: A Coalition Formation Game Approach[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 4548 - 4553.
APA Cheng Mengzhen., Su Zhou., Wu Yuan., Xu Qichao., Dai Minghui., & Fang Dongfeng (2024). MEC-Enabled Cooperative Rendering in Metaverse: A Coalition Formation Game Approach. 2024 IEEE International Conference on Communications (ICC’2024), 4548 - 4553.
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