GIS-driven network planning for telecom — reduce gaps, boost capacity
We delivered a full GIS program for a telecom operator: RF planning, coverage heatmaps, fiber route optimization, and asset inventory — all tied to KPIs for capacity, cost and rollout speed. This case study is anonymized.
The challenge
The operator faced patchy coverage, expensive tower rollouts, and poor visibility into field assets. They needed a GIS program to prioritize investment, optimize fiber routes and reduce time-to-market for capacity upgrades.
Approach
- Data aggregation: drive-tests, OSS inventory, demographic & topography layers
- Modeling: RF propagation, coverage heatmaps, and fiber cost surfaces
- Optimization: site candidate scoring, route optimization, and scenario simulations
- Delivery: interactive dashboards, runbooks and field-ready asset lists
Solution
We combined spatial data engineering, RF modeling and optimization to create a prioritized, costed rollout plan and interactive dashboards for planners and field teams.
RF & Coverage Modeling
Propagation models tuned with drive-test data and stakeholders' KPIs.
Optimization & Dashboards
Site scoring, fiber cost surfaces, scenario comparison and interactive dashboards for decisioning.
Implementation timeline
Results (anonymized)
Post-implementation results tied to rollout and ops KPIs.
Tech & ops
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We run focused GIS programs for telecom operators — from data engineering to field rollouts and continuous optimization.