Edge Intelligence-Based Ultra-Reliable and Low-Latency Communications for Digital Twin-Enabled Metaverse

In this letter, we propose a novel digital twin scheme supported metaverse by jointly considering the integrated model of communications, computing, and storage through the employment of mobile edge computing (MEC) and ultra-reliable and low latency communications (URLLC). The MEC-based URLLC digita...

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Bibliographic Details
Published inIEEE wireless communications letters Vol. 11; no. 8; pp. 1733 - 1737
Main Authors Van Huynh, Dang, Khosravirad, Saeed R., Masaracchia, Antonino, Dobre, Octavia A., Duong, Trung Q.
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.08.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Caching
Computation offloading
Computational modeling
Digital twin
Digital twins
Edge computing
Industrial Internet of Things
metaverse
Mobile computing
mobile edge computing
Network latency
Network reliability
Optimization
Real-time systems
Servers
Task analysis
Ultra reliable low latency communication
ultra-reliable and low latency communications
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Summary:In this letter, we propose a novel digital twin scheme supported metaverse by jointly considering the integrated model of communications, computing, and storage through the employment of mobile edge computing (MEC) and ultra-reliable and low latency communications (URLLC). The MEC-based URLLC digital twin architecture is proposed to provide powerful computing infrastructure by exploring task offloading, and task caching techniques in nearby edge servers to reduce the latency. In addition, the proposed digital twin scheme can guarantee stringent requirements of reliability and low latency, which are highly applicable for the future networked systems of metaverse. For this first time in the literature, our paper addresses the optimal problem of the latency/reliablity in digital twins-enabled metaverse by optimizing various communication and computation variables, namely, offloading portions, edge caching policies, bandwidth allocation, transmit power, computation resources of user devices and edge servers. The proposed scheme can improve the quality-of-experience of the digital twin in terms of latency and reliability with respect to metaverse applications.
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ISSN:2162-2337
2162-2345
DOI:10.1109/LWC.2022.3179207