For CTOs and network teams, deploying mobile infrastructure has become a race against time. Expanding multi-generation coverage (2G to 5G) while ensuring high design accuracy is a critical challenge.
Traditional approaches are no longer sufficient. Manual or siloed design processes lead to configuration errors, failed site validations and degraded quality of service. Automation is now essential to industrialize deployments and ensure network performance.
Client challenge: improving agility and operational reliability
Faced with rapid network densification, the client needed to transform its radio design processes to meet growing performance and efficiency requirements.
Existing workflows led to high rework rates, slowing down deployment and increasing operational costs. The objective was to move towards a scalable and reliable industrial model.
Key challenges
- Faster time-to-market: reduce delays between design and site activation.
- First Time Right: improve validation success rates.
- Design-to-deployment alignment: enhance collaboration between engineering and field teams.
- Multi-technology optimization: ensure consistency across 2G, 3G, 4G and 5G.
Sofrecom solution: engineering enhanced by automation
Sofrecom implemented an approach combining technical expertise and process automation to transform radio design.
1. Process re-engineering
Optimization of workflows to improve efficiency and reduce delays.
2. Design automation tool
Development of a tool to automate consistency checks, simulations and parameter validation.
3. Connected field methodology
Integration of field data with simulation tools to adjust parameters in real conditions.
4. Performance governance
Implementation of KPIs and continuous improvement based on feedback loops.
Benefits: industrialized network performance
Operational results
- Faster deployment of radio sites.
- Reduced design errors.
- Improved reliability of field validations.
Strategic impact
- Enhanced quality of service for end users.
- Reduced operational costs related to rework.
- Data-driven decision making for network performance optimization.
Result: a more agile organization capable of deploying reliable and high-performance network infrastructures.
