The Disruptions of 5G on Data-Driven Technologies and Applications

TLDR

5G is poised to dramatically increase bandwidth and reduce latency, enabling smart cities, IoT, and edge machine learning, but its network slicing and virtualization raise significant security concerns. The authors aim to analyze 5G’s impact on traditional and emerging technologies and explore future research challenges, particularly its role in federated learning. They examine 5G’s influence on technology development and propose formal verification methods to detect security issues in virtualized network environments. The study concludes that 5G will create a far denser, more connected world than 4G, opening vast new possibilities.

Abstract

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 10-100× 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.