What is it about?
Network slicing is a feature of 5G cellular networks that allows tailoring the network on request of the application and the type of content consumed. Provisioning Android mobile devices, particularly smartphones, with 5G network slicing capabilities is of great interest to manufacturers, carriers, and application developers. This paper proposes a proof-of-concept to enable network slicing support in Android-powered devices.
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Why is it important?
We define a workflow in a research-oriented setup that describes how the developed interfaces should interact with the other components of the Android Open Source Project (AOSP) software stack architecture at an internal level to bridge the communication process during a 5G network slicing request while also communicating with the external elements that conform the infrastructure of the 5G cellular network. This workflow could serve as a base for other researchers and application developers to test the 5G network slicing support in Android without having to rely on commercial providers and closed-source alternatives.
Perspectives
As part of my work on my industrial secondment, this article meant an exciting challenge and a great opportunity to learn more about Android development and state-of-the-art telecommunications technologies. Discovering that many aspects of the Android and AOSP ecosystems are not as open-source as we might think made me realize the extreme importance of contributing to research that emphasizes the need for clearer documentation and open access to the specifications of the software and hardware that we as users consume as part of our everyday lives, but that is often limited to the hands of manufacturers and other business providers.
Julián Jerónimo Bañuelos
Aalto-yliopisto
This publication set current deployment of network slicing
Jose costa-requena
Aalto-yliopisto
Read the Original
This page is a summary of: An Application Programming Interface for Android to support dedicated 5G network slicing, November 2023, ACM (Association for Computing Machinery),
DOI: 10.1145/3627050.3630735.
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