3D cellular modelling

* Traffic from wireless and mobile devices will exceed traffic from wired devices by 2016.
* Global IP traffic has increased fivefold over the past 5 years, and will increase threefold over the next 5years.
* Busy-hour (or the busiest 60?minute period in a day) Internet traffic increased 32 percent in 2013, compared with 25 percent growth in average traffic.

Statistics from Cisco’s Visual Networking Index (VNI) 2013-2018.

By any of the measures listed above, it’s clear that wireless and mobile devices will consume an ever greater amount of data globally in coming years. This puts pressure on network designers to come up with clever ways to cope, particularly with data density in highly populated areas like central business districts (CBD) and data distribution across broad rural fringe areas.

Some very clever OSS have found ways to model the three-dimensional complexity of radio wave propagation within a varying landscapes, terrains, building and vegetation patterns.
This series of articles from the InfoVista blog reveal some helpful hints to planning your wireless and mobile networks with 3D mapping and coverage tools:

  1. Why 3D Maps are Vital for Small Cell Backhaul Network Planning in Urban Areas
  2. Automate, Collaborate, Empower – Maximizing the RAN’s Value Through Coverage Maps
  3. Using Coverage Maps to Improve Customer Care
  4. Empowering RF Engineers by Automating Coverage Map Generation

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2 Responses

  1. I wonder if monetisation of this data could drive improvement of networks? Eg traffic data turned into profitable modelled data, models of peak and off peak usage driving recommendations online and in the meatspace and trending offers to consumers to enable them?

  2. Hi Scott

    Yes, I suspect there is a great amount of valuable (ie someone willing to pay for) insight to be garnered from location-based data.

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