Next-Gen planning solution for 5G New Radio networks

Next-gen, cloud-native solution for fast-prototyping of 5G NR radio networks in urban and industrial deployments, delivered in the SaaS online model, and supported by AI/ML.

Key Features

90% Faster

The ability to simulate the full propagation space in high-resolution many times faster and more efficient than before, thanks to our proprietary, cloud-based, advanced voxel computing engine.

10x cheaper

Much lower costs compared to the existing tools, thanks to an online, cloud-based, SaaS solution delivery model - no need to purchase an expensive permanent license orhave a powerful (expensive) workstation

AI Support

Less demand for costly engineering knowledge thanks to the planning process simplification. Fast, automatic, and AI-supported precise planning of the deployment of 5G antennas and radio base stations.

Scalable

Flexible scaling of the tool, depending on the specific needs of a given project - ranging from the area of asingle block, through the area of a large infrastructure project, up to the scale of the entire city.

Dynamic simulations

The ability to effectively perform dynamic simulations, taking into account dynamic elements in the measurement space, such as road traffic or moving machines and devices.

CAD / BIM support

A wide range of the supported data formats for the simulation environment, incl. most of the CAD and BIM formats in use - ifc, dwg, dgn, fbx, gml, photogrammetry, point-cloud and more.

Efficient planning of the 5G NR networks faces significant new challenges.
Learn how we address those challenges with our next-gen planning tools.

The efficient and cost-effective implementation of 5G New Radio networks will require a complex spatial planning process, involving the optimal arrangement of a large number of devices (antennas, base stations, IoT devices) in a unit of space. In the case of this type of network, manual planning is not an option in most cases - only the use of the most modern solutions, based on advanced automation, supported by Artificial Intelligence (AI) and Machine Learning (ML), will allow obtaining the efficiency of the planning process adequate to the new challenges.

5G NR planning challenges include in particular:

  • the need to take into account the specific features of millimeter waves and the impact of atmospheric/ environmental conditions and dynamic elements on these waves in propagation models
  • the need to plan a dense and irregular radio network topology; much higher number of devices per unit of space than in previous generation networks
  • limited efficiency of manual planning, supervision and management of the 5G network, or often no such possibility; the need for an advanced automation of these processes, supported by AI and ML
  • automation should also include the possibility of simulating the operation of the network (Digital Twin model) in order to test and optimize it already during the initial planning stage

Blare Tech 5G Tools is planned from the very beginning to work natively in the cloud and delivered in the SaaS model. It will allow users to plan a 5G radio networks much faster and cheaper, simulating the signal coverage for the entire measurement space, not only on the surface of the surrounding elements, which may be insufficient in the case of mm wavelength range. The planning process will be supported by AI and ML, which will reduce the involvement of costly expert knowledge. The cloud-based architecture will, in turn, allow for flexible scaling of the resources used, depending on the needs of a given project. The user will only bear the costs adequate to a given computing scenario, without the need to maintain excess power or limit performance due to insufficient computing resources.

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