5G对数据驱动技术和应用的颠覆
The Disruptions of 5G on Data-driven Technologies and Applications
摘要：
随着5G即将成为下一个移动网络，有必要分析其对计算和数据管理格局的影响。在本文中，我们分析了5G对传统和新兴技术的影响，并对未来的研究挑战和机遇提出了我们的看法。预计带宽将增加10- 100倍，延迟将减少5- 10倍，5G预计将成为智能城市，智能物联网和高效医疗保健的主要推动者，其中机器学习在边缘进行。在这种情况下，我们研究了5G如何帮助联邦学习的发展。网络切片是5G的另一个关键特性，允许在同一物理基础设施上运行多个隔离的网络。然而，安全性仍然是虚拟化、多租户和高设备密度环境中的主要问题。5G网络的形式化验证可用于检测大规模虚拟化环境中的安全问题。总之，5G将使世界变得更加密集和紧密。我们在4G连接方面所经历的与5G带来的巨大可能性相比将相形见绌。
英文摘要：
With 5G on the verge of being adopted as the next mobile network, there is a need to analyze its impact on the landscape of computing and data management. In this paper, we analyze the impact of 5G on both traditional and emerging technologies and project our view on future research challenges and opportunities. With a predicted increase of 10-100x in bandwidth and 5-10x decrease in latency, 5G is expected to be the main enabler for smart cities, smart IoT and efficient healthcare, where machine learning is conducted at the edge. In this context, we investigate how 5G can help the development of federated learning. Network slicing, another key feature of 5G, allows running multiple isolated networks on the same physical infrastructure. However, security remains the main concern in the context of virtualization, multi-tenancy and high device density. Formal verification of 5G networks can be applied to detect security issues in massive virtualized environments. In summary, 5G will make the world even more densely and closely connected. What we have experienced in 4G connectivity will pale in comparison to the vast amounts of possibilities engendered by 5G.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
