AI for Connectivity Hackathon II: Building Resilient Networks 

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Tech innovators passionate about AI, telecommunications, and cutting-edge solutions.

NTT Data Mexico

phoebus_xi

lulloaX

mariana_dwarka

Rudolphcljc

G.E.N.E.O is an Application Function (AF) based on supervised genetic algorithms with language models for planning management in the insertion of Edge UPFs and their resource optimization.
The planning stage optimizes the distances and resource allocation of the Edge UPFs according to the initial population distribution.
In the Optimization stage, it assigns network resources according to the capacities in the Edge UPFs, considering the mobility of users for each hour. In turn, it validates the result with the 5G technical specifications given by 3GPP and generates the configuration change operation at the Edge.

G.E.N.E.O is a Application Function (AF) based on Genetic Algorithm (GA) supervised with Large Language Model (LLM), focused on planning, optimization, and configuration of Edge User-plane Function (UPF) in 5G SA (Standalone) scenarios.

"NTT Data Mexico team on AI for Connectivity Hackathon II: Building Resilient Networks Hackathon"

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