- Spanish operator MasOrange turns to automation and AI-powered management for its RAN, promising efficiency — but many questions remain over vendor lock-in and practical gains.
- The partnership highlights the increasing shift toward autonomous networks in Europe — yet it’s unclear whether such automation delivers better user experience or just cost savings.
What happened: MasOrange and Ericsson push for AI-driven network automation
Spanish operator MasOrange has partnered with Ericsson to deploy Ericsson’s Intelligent Automation Platform (EIAP), along with a suite of rApps (RAN automation apps), to automate parts of its radio access network (RAN).
The rollout integrates EIAP with MasOrange’s existing commercial network management system, enabling automated detection of network anomalies and dynamic energy-saving measures via rApps such as “Cell Anomaly Detector” and “Nix RAN Energy Saver.”
MasOrange has framed this as part of its long-term effort to build a highly programmable, open network. The broader collaboration with Ericsson dates back to an Open RAN-ready network overhaul launched in 2024, which aims to make MasOrange’s 5G infrastructure one of the most advanced and flexible in Europe.
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Why it’s important: Automation and openness
Using AI-powered automation to manage RAN could yield real benefits: proactive detection of network issues, faster responses, lower need for manual intervention, and potentially lower energy consumption. For busy networks supporting 5G and high demand, this can be a compelling efficiency boost. Indeed, proponents argue that rApps and SMO-based management will help operators keep up with growing complexity, while improving stability and sustainability.
Yet there are valid reasons for caution. Relying heavily on a single vendor’s automation stack may limit flexibility. Even if the system is “Open RAN-ready,” the automation components currently come from Ericsson — raising questions about long-term vendor lock-in. It is unclear to what extent third-party or open-source rApps will be adopted across MasOrange’s network, or how easy it will be to switch as requirements evolve.
Moreover, automation does not guarantee improved user-facing performance. Detecting anomalies or saving power is one thing — ensuring consistent coverage, latency, and throughput across diverse geographies (urban, rural, high-density) is another. Until independent metrics or long-term user data become available, it remains uncertain whether automation benefits will translate into better service for end users.
MasOrange’s move could mark a turning point. As one of Europe’s larger operators committing to automation and Open RAN-ready architecture, how well this deployment fares will likely influence other operators across the region.
If successful, it may encourage a wave of modernization, greater network programmability, and more flexible deployment of services. But if issues arise — such as instability, insufficient interoperability, or vendor dependency — it could slow or reverse industry enthusiasm for fully autonomous network management.
