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Abstract: Networks are inherently graph-structured, as such a ‘network graph’ representation can be built and leveraged to address network operations problems. This post is an introduction for how to use Graph and Graph-related techniques (machine learning (ML) and generative AI) with AWS services to transform 5G network operations. We use an open-source network dataset and we focus on the use case Next-Cell prediction to showcase how to 1) build a network graph, 2) query it with Graph query languages and generative AI, and 3) build predictions with Graph ML to derive insights into the mobile cells that have more connected users and anticipate resource allocation. Our next post focuses on Root Cause Analysis with Spatio-Temporal network features.
Our next post will focus on Root Cause Analysis with Spatio-Temporal network features.