
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.
education, AR/XR/VR, metaverse, edge computing, 5G/6G networks, smart culture, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
education, AR/XR/VR, metaverse, edge computing, 5G/6G networks, smart culture, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
