AI-based Automated Network Planning and Adaption
Machine learning-based wireless network planning that is fast, accurate, and tailored to your specific environment.
ML-based Radio Network Planning
Leveraging side-view and top-view image analysis with feature vectors and k-means clustering to identify optimal base station placement in each cluster.
Fast, Accurate, Tailored
Intelligent algorithms iterate until QoS requirements are met, incrementally adding base stations and optimizing placement through polygon centroid analysis.
Coverage Optimization
Generate wireless coverage maps showing QoS fulfillment rates, from initial single-cluster to multi-cluster configurations, each optimizing for maximum coverage.
Widely Adopted
With 2 awards, 3 core publications, and 15,000+ regular users over the last three years, the 5G campus network planner has received high resonance in the industry.
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