EneRIC - Connecting People

Created by team EnerRIC on March 02, 2025

EneRIC is an innovative project designed to address connectivity challenges in developing regions, particularly in rural areas where deploying 5G networks remains economically unfeasible. High infrastructure costs (CapEx) and recurring operational expenses (OpEx) prevent telecommunications providers from expanding coverage, leaving millions without reliable internet access. To overcome these barriers, EneRIC leverages cutting-edge 5G technology and artificial intelligence to create a low-cost, sustainable, and efficient network solution. Unlike traditional deployment models, which rely on expensive physical infrastructure, EneRIC optimizes connectivity through: Virtualized Networks that reduce the need for costly hardware installations. AI-driven Optimization Algorithms to enhance network performance and resource allocation. Cost-Reduction Strategies that minimize operational and maintenance expenses. EneRIC utilizes open-source software for radio management, eliminating the need for proprietary hardware by virtualizing the Central Unit (vCU) and Distributed Unit (vDU). This approach enhances flexibility and reduces deployment costs. Furthermore, by implementing a *Near-Real Time RIC* (Radio Intelligent Controller) for gNB that follows the ORAN Alliance specifications, EneRIC ensures maximum interoperability and integrates cutting-edge technologies in next-generation telecommunications. This innovation enables the deployment of an *AI-driven network, where the Radio Access Network (RAN) can self-manage and dynamically optimize energy consumption. By leveraging artificial intelligence, EneRIC minimizes operational expenditures (OpEx) by up to **75%* in optimal scenarios, making 5G deployment more sustainable and cost-efficient.

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"Very solid presentation and use case, however, AI component is poorly justify, LLMs might not be the right AI solution in this use case..."

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Ivan Dotu

"Echo Ivan's feedback - LLM's are likely the wrong method. That being said, you demonstrate a highly technical use case with actual implementation potential. "

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Maria Antonia Bravo