NOKIA campus - Digital Twin for Smart City planning.

Nokia 5G Digital Twin – Espoo Campus

The Nokia Espoo Campus is one of Europe’s most advanced testbeds for smart city innovation. As part of the LuxTurrim5G program, it brings together 5G networks, IoT sensors, mobility services, and next-gen urban infrastructure. To manage this complexity, the consortium required a Digital Twin capable of integrating diverse datasets and supporting high-precision 5G planning at millimeter-wave frequencies.

The Challenge

A complex urban innovation environment required designing and validating next-generation 5G infrastructure in dense, real-world conditions.

The project combined:

• high-frequency mmWave (FR2) 5G networks,
• urban infrastructure and mobility systems,
• and multiple data sources including 3D city models, BIM, and IoT.

At these frequencies, network performance becomes highly sensitive to spatial factors such as buildings, vegetation, and moving objects — making traditional planning approaches insufficient.

The key requirement was to replace costly, iterative field testing with a simulation-driven approach capable of supporting multiple planning scenarios.

The Approach

Blare Tech applied a Digital Twin-based, simulation-first methodology to enable accurate infrastructure planning in a complex urban environment.

The solution focused on:

• creating a high-resolution 3D spatial model,
• integrating multi-source data (geospatial, BIM, IoT),
• and enabling advanced simulation of mmWave propagation and network behavior.

This allowed engineers and planners to analyze network performance directly within a realistic spatial context — before physical deployment.

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The Solution

Blare Tech delivered an integrated Digital Twin platform supporting:

• Simulation of 5G Small Cell networks in mmWave (FR2) environments
• AI-assisted evaluation of antenna placement and infrastructure layout
• Integration of 3D city data, BIM models, and IoT systems
• Scenario-based analysis for mobility and smart infrastructure use cases
• Interactive 3D visualization for cross-team collaboration

The platform created a unified environment for testing and optimizing multiple infrastructure scenarios using real-world spatial data.

The Impact

• Faster and more efficient 5G network design through simulation-driven planning
• Reduced reliance on physical testing and field measurements
• Improved infrastructure decisions across mobility and urban systems
• Lower cost and risk in deploying mmWave networks
• Creation of a reusable Digital Twin model for future deployments

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