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5G/6G Architecture Evolution for XR and Metaverse: Feasibility Study, Security, and Privacy Challenges for Smart Culture Applications

Authors: Christopoulou, Maria; Koufos, Ioannis; Xilouris, George; Dimitriou, Nikos;

5G/6G Architecture Evolution for XR and Metaverse: Feasibility Study, Security, and Privacy Challenges for Smart Culture Applications

Abstract

This paper investigates the evolution of 5G/6G architectures to support demanding Extended Reality (XR) and Metaverse applications, focusing specifically on the “smart culture” domain. We evaluate the capabilities of the 5G Service-Based Architecture (SBA), including Multi-Access Edge Computing (MEC) and network analytics, through a comprehensive feasibility study comparing stringent XR requirements (bitrate, latency, capacity, power, accuracy) against current 5G performance. Our key contribution is the identification of significant performance gaps where 5G struggles to meet the demands of advanced XR, particularly concerning capacity, scalability, and ultra-low latency. Furthermore, we provide a detailed analysis of critical security and privacy challenges inherent in 5G-enabled XR environments, including virtualization vulnerabilities, API security, and sensitive data protection. While 5G provides core capabilities, significant challenges persist, emphasizing the need for continued research and the evolution toward 6G to effectively support immersive experiences in smart culture and the Metaverse.

Keywords

education, AR/XR/VR, metaverse, edge computing, 5G/6G networks, smart culture, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold