Monday, February 16, 2026 10:12:07 AM
The project includes a comprehensive renovation of the Riyadh Air Metropolitano’s Wi-Fi and communications network, with over 1,500 access points managed by artificial intelligence.
HPE Aruba Central, HPE’s AIOps platform, monitors and optimizes network performance in real time and enables predictive detection and resolution of issues.
The new infrastructure integrates energy-saving features and advanced analytics and location capabilities to enhance the fan experience.
MADRID, February 16, 2026--(BUSINESS WIRE)--The Riyadh Air Metropolitano Stadium, home of Atlético de Madrid, is advancing its technological transformation with the implementation of a new intelligent, self-driving network infrastructure based on HPE Networking solutions. The project, divided into two phases over the 2025/26 and 2026/27 seasons, completely modernizes the stadium’s communications system and marks the beginning of a new era in the digitalization of sports infrastructures in Europe.
The new network will replace the current infrastructure, which has been in operation for eight seasons, and will feature over 1,500 next-generation Wi-Fi 7 wireless access points managed through HPE Aruba Central. This platform uses artificial intelligence and machine learning to detect anomalies, dynamically adjust radio frequency (RF) parameters (channel and power) using the AI-native HPE Aruba Networking AirMatch Wi-Fi RF management and automation technology, thus optimizing performance based on user density. This capability is essential during events with tens of thousands of attendees, when traffic and congestion are at their peak.
The infrastructure will also integrate location services and presence analytics powered by AI, enabling heatmaps and mobility flows to be visualized across different stadium sectors. These insights help improve security, optimize access management, and adjust staffing or logistical resources according to actual fan behaviour. Commitment to energy efficiency is another key pillar of the project. Through AI-powered dynamic power save mode, access points can enter deep sleep mode or reduce their functions when there is no activity, minimizing electricity consumption in a large-scale venue that only operates at full capacity during events. This is possible using AI-powered dynamic power save mode, which enables adjust the energy power use according to the network use.
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