Page 187 - AI for Good-Innovate for Impact Final Report 2024

AI for Good-Innovate for Impact

Use case – 43: Datasets and AI for 3GPP Mission Critical Services

(MCX) in emergency

Country: Spain 43 - NS

Organization: Nemergent Solutions

Contact person: Adrian Santiago, adrian.santiago@ nemergent -solutions .com

43�1� Use case summary table

Domain Telecommunications and emergency services

The problem to be Developing AI/ML-driven solutions for optimizing and managing 5G/6G
addressed networks in massive emergency scenarios due to the lack of real-world
datasets
Key aspects of the • Implementation of AI/ML mechanisms for network optimization and
solution anomaly detection.
• Development of datasets simulating emergency scenarios.
• Enhanced network topology and configuration management during
disasters.

Technology • 5G/6G networks
keywords • AI/ML
• Mission Critical Services (MCX)
• Network optimization
• Anomaly detection

Data availability It has not yet been publicly released. Data collection is still pending
implementation. The simulation and emulation of large-scale events are
necessary. Currently, due to data privacy concerns, the company does
not make the data public.

Metadata (type of Numerical values, text data and GPS.
data)

Model Training and Depends on the final data.
fine-tuning May use neural networks, supervised learning.

Testbeds or pilot https:// doi .org/ 10 .1109/ ACCESS .2024 .3350902
deployments

43�2� Use-case description

43�2�1� Description

Traditional critical communications have evolved during the last years towards implementations
adapted to new generation broadband networks, starting from LTE to 5G+/6G, following
standard-based, interoperable and cost-efficient objectives. This evolution has been supported
and carried out by the 3rd Generation Partnership Project (3GPP), developing standards and
requirements for Mission Critical Services (MCX) over the broadband wireless networks,

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