Page 196 - AI for Good-Innovate for Impact Final Report 2024

AI for Good-Innovate for Impact

Here is a concrete example: A network operator integrates an application for smart agriculture.
This is developed in the form of a xApp, integrating AI models for optimal yield prediction. The
xApp infers the yield, using the data obtained from the deployed units in the field. This solves
an important problem of food security and related SDG.

But before deploying in the field, the operator wants to test this using Sandbox. Here, a digital
twin based implementation, where similar data is routed to the digital twin and inference is
validated by experts. This technique uses a Sandbox mechanism as explained in ITU-T Y�3172.

However, in this use case, two additional techniques are used: Open RAN xApp based
implementation and Vertical applications such as smart agriculture are used as SINK and SRC
for the Y�3172 based pipeline.

The project is currently in the research phase, with publicly available data being collected and
analyzed to understand the current state of digital twin applications in 5G and identify areas
for improvement. The insights gained from this research will guide the development of a proof
of concept, demonstrating the feasibility of the proposed applications.

This use case represents a significant step towards realizing the full potential of the future
applications such as Metaverse in enhancing 5G communications. It opens a way for operators
to credibly monetize the AI applications developed in the labs, by deploying them confidently
in the fields, at the same time achieving the SDGs.

In this use case , We are aiming to explore the potential of integrating the digital twins with
Open RAN based 5G communications, leveraging the power of Artificial Intelligence (AI).

The first phase of the project involves comprehensive data collection and analysis. We aim to
understand the current state of digital twin applications in open RAN 5G and identify areas for
improvement. The data used in this project is publicly available, ensuring transparency and
reproducibility of the research.

Based on the insights gained from the data analysis, we plan to develop a proof of concept.
This will demonstrate the feasibility of the proposed applications of the open RAN in 5G
communications. The proof of concept will focus on creating immersive and interactive
experiences, such as virtual environments for remote collaboration, enhanced data visualization,
and new forms of media and entertainment.

Concurrently, we will also work on building AI models. These models will simulate the proposed
solution and predict its impact. AI will also be used to create intelligent virtual agents, analyze
data, create dynamic environments, and ensure user security and privacy.

In the long term, we aim to contribute to the development of standards for the application of
Metaverse in 5G communications. This will ensure that the Metaverse is accessible, secure,
and beneficial for all users.

This proposal represents a significant step towards realizing the full potential of the Metaverse in
enhancing 5G communications. It not only pushes the boundaries of what is currently possible
in digital communication but also paves the way for a future where distance and physical
limitations are no longer barriers to communication.

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