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.

16 weeks Tools: QGIS • PostGIS • Python Deliverables: Coverage maps, PoC, Runbook
Coverage improvement
0%
(areas served)
Capacity uplift
0%
(estimated)
Site reuse
0%
(reduced new sites)
coverage map
GIS gallery
Quick legend
Strong Signal
Weak Signal
Planned Fiber

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.

Uncertain coverage maps
Manual site planning
High fiber routing costs
Slow rollout decisions

Approach

  1. Data aggregation: drive-tests, OSS inventory, demographic & topography layers
  2. Modeling: RF propagation, coverage heatmaps, and fiber cost surfaces
  3. Optimization: site candidate scoring, route optimization, and scenario simulations
  4. 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.

Spatial Data Platform

Centralized PostGIS layer with cleaned OSS and field telemetry for real-time queries.

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.

Process flow
Data ingest RF Modeling Optimization Dashboards

Implementation timeline

1
Weeks 0–3 — Data & Discovery
Inventory, OSS sync, drive-testing
2
Weeks 4–8 — Modeling & Simulation
RF tuning, coverage maps, scenario runs
3
Weeks 9–12 — Optimization & PoC
Routing, site scoring, pilot rollout
4
Weeks 13–16 — Dashboard & Handover
Runbooks, training, handoff

Results (anonymized)

Post-implementation results tied to rollout and ops KPIs.

+0%
Coverage increase
+0%
Capacity uplift
-0%
Deployment cost reduction
coverage map fiber route rf testing
Numbers anonymized. Results are a combination of modeling and pilot validation.

Tech & ops

PostGIS QGIS Python (GeoPandas) RF Simulation Dashboard (React)

Ready to optimize your network?

We run focused GIS programs for telecom operators — from data engineering to field rollouts and continuous optimization.