“…with big data techniques we can start to find out where the clusters of [revenue generating businesses] and where the clusters of bad coverage are so you can be far more selective of where you rollout to.”
In yesterday’s blog, we discussed the likelihood of more OSS vendor suites containing large-scale network design automation tools due to the potential for quick payback periods on invested capital as well as faster time to market (TTM).
We cited the example of Australia’s NBN using a fibre optic network design automation tool. However, it’s not just fibre networks that are suited to these design decision support tool.
Other scenarios could include, but are certainly not limited to:
- Upgrade of HFC networks from DOCSIS 1/2 to 3 will require network reconfiguration to optimise bandwidth available to customers, infrastructure utilisation and identification of where additional infrastructure is required
- Optimal network expansion areas, whether for fixed or wireless networks, to support the most customers or to best provide blackspot coverage
- Optimal roll-out sequencing for faster revenue turn-on
- Identifying areas with the most customers within break-even distance from existing network infrastructure
- Design optimisation to support time of day and time of year-based traffic engineering of networks
- Dual overlays of utility networks with their comms assets to provide least-cost or fastest roll-out of new network builds
- I’m sure you can imagine many others!