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cdti

WePlan Analytics has participated in the ICEX-Next Export Initiation Program, and has had the support of ICEX and co-financed by European ERDF Funds. The purpose of this support is to contribute to the international development of the company and its environment.

cdti

Project "PREDICTION SYSTEM OF THE COVERAGE AREA OF A MOBILE COMMUNICATIONS NETWORK BASED ON ACOTED VOLUMES OF MASSIVE DATA GENERATED BY SMARTPHONES" (IDI-20230364) financed by the European Regional Development Fund ("FEDER") and the Centre for the Development of Industrial Technology (CDTI), budgeted at 229,521.00 €. In Madrid, from September 2022 to September 2023.

Description:
  • Design of an advanced geostatistical algorithm that allows inferring mobile network quality measurements in a Big Data environment.
Goals:
  • Develop a scalable system for the total prediction of the system coverage of a mobile network.
Results:
  • The network parameterization by mobile operators has been analysed in depth.
  • The network parameterization that they make has been analyzed in depth mobile phone operators.
  • It has been possible to develop a scalable system for predicting the Network coverage from crowdsourced data.
cdti

The Ministry of Science and Innovation has awarded WePlan Analytics the Innovative SME certification until March 2025, in recognition of its strong R&D&I activity and its focus on innovation.

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Tower Companies

Our solutions
/Tower Companies

Our solutions for TowerCos

To make informed decisions and effectively manage assets, TowerCos require access to geolocalized network data from all MNOs in each market. This data provides valuable insights into network performance, usage patterns, and capacity needs.

At WePlan, we deliver data-driven solutions that help TowerCos identify high-demand areas, promote new lease-up opportunities, and proactively plan for future network expansions.

Empowering our clients through tailored solutions

Effectively showcase the potential improvements that a new site location can offer each MNO.

Find places where one or more MNOs are experiencing severe network degradation.

Detect which MNOs are broadcasting from a site, how many cells and frequencies are in use, and identifies cases of RAN sharing (MOCN and MORAN), ensuring accurate billing of its tenants.

Helping the financial part of the operation by allowing a more precise evaluation of the potential tenancy ratio of a portfolio.

Detect venues that have a large amount of traffic with very degraded network situations and approach one or more MNOs to propose a special network solution.

Detect areas with high congestion risk that require new or additional deployments. Proactive approach towards the MNOs, suggesting additional deployment for microcells, macros, etc.

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icex-next
cdti
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