MantaRay SON (Self-Organizing Networks)
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Enhance radio network performance, quality and energy efficiency
AI-powered MantaRay SON boosts 5G radio network quality, efficiency and customer experience enabling autonomous RAN operations
Artificial intelligence is a game changer for RAN operations
TM Forum's autonomous network framework level 4 or 5 cannot be reached without AI
Mobile operators face an overall increase of 10-30 percent annually in mobile network energy use
Why are automation and AI essential in radio network operations?
With the introduction of 5G, there are more network elements, sites, and cells than ever before. Operating and optimizing 5G radio networks with manual-intensive tools or even with simple automation is no longer possible. Managing the increasing network complexity cost-efficiently requires more than just automation. Artificial intelligence is the key enabler for efficient 5G RAN operations.
Improve radio network performance
By reducing the need for human involvement in radio network optimization and harnessing the power of AI, the operator can solve problems faster, prevent issues from developing, and deliver a better customer experience — with significant operational cost savings.
Reduce radio network energy consumption
Automated radio network configuration and AI-powered optimization of RAN energy efficiency features are essential for reducing RAN energy consumption. With intelligent RAN energy management, automating energy savings is possible in all types of radio networks without any degradation in network KPIs.
Enhance radio network quality
When network complexity grows, the number of parameters and needed optimizations becomes so high that it is too much for humans alone to manage. Automation and AI eliminate the risk of human errors by shifting the burden of real-time problem analysis and solutions to machine learning systems.
Artificial intelligence is a game changer for RAN operations
Operators will add more frequency bands, dedicated network slices and sophisticated software capabilities that all need to be optimized and managed. That amounts to thousands of base stations and millions of cells - too much for humans alone to manage. AI can handle routine operations significantly faster and produce better quality than previous tools.
- Boost network performance and efficiency through self-configuring, self-healing, and self-optimizing actions.
- Manage RAN energy-saving features intelligently with AI with no degradation in network KPIs.
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MantaRay AutoPilot
Read the solution brief
- Optimize network performance and quality with AI-powered automation.
- Enhance operational efficiency significantly and cut costs.
Nokia makes AI-driven autonomous RAN operations a reality
AI-powered radio network performance and energy optimization are field-proven in live networks.
Read our case studies to learn how these solutions support our customers.
- 10,000 autonomous corrective actions per hour
- 30% higher cell utilization
- 10 percent average enhancement in downlink throughput
- 6 percent average reduction in energy consumption on top of RAN energy saving features
- No degradation in network KPIs
- 29 percent improvement in busy hour downlink throughput
- 22 percent reduction in 5G drop call rate
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Multinational operator
Multinational operator enhances user experience in large-scale multivendor network
- 32% reduction in early handovers
- 17% improvement in downlink throughput
- 13% reduction in dropped call rate
- Consistent end user throughput maintained while traffic volume increased by 40%
- Overall 20% OPEX saving
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Learn more about SON
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Customer success
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Testimonial
Nokia SON - video testimonial from Telecom, Argentina
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